DC Summit: Generative Artificial Intelligence & Finance

April 20, 2024 9AM – 5PM | George Washington University, Washington DC

Join us during the IMF Spring meetings as a large number of leaders, ministers, dignitaries and academics descend to DC for talks, discussions and networking.

In Attendance / Confirmed RSVPs: Bankers, central bankers, regulators, policy makers, startups, government officials, military and more will be in the audience.

Speaker Organizations


IDTimeFormatSubjectSpeaker / Panelists
8:15AMCheck-In Opens
19:00TalkWelcomeDiana Doroftei
Head of Partnerships, Scifn
29:05TalkState of Generative AI in FinanceProf. Jamiel Sheikh
CEO, Scifn
39:15TalkGenerative AI and TradingStefano Pasquali
BlackRock, Managing Director, Investments & AI
49:45TalkPortfolio Management with LLMsBruno Melo
NY Life Investments
510:15TalkGoogle Gemini for FinanceAlison Rooney
Global Head of Capital Markets Partnerships
610:40TalkCopilot for FinanceRavi Sarkar
Enterprise CTO, Microsoft
711:05TalkImpact of AI on Financial MarketsProf. Michael Wellman
University of Michigan
811:35TalkThe impact of LLMs on financial inclusionProf. Karen Bhatia
Stanford University
12:05Lunch & Networking
91PMVirtual TalkBringing AI to Financial Services with Accelerated ComputeDr. Jochen Papenbrock
Head of Financial Tech, EMEA
101:30TalkFinGPT: Open-source Financial Large-Language ModelProf. Xiaoyang Liu
Co-founder, FinGPT
Columbia University
111:55TalkDecoding LLMs: Challenges in EvaluationJayeeta Putatunda, Fitch Ratings
2:15Coffee Break & Networking
122:30TalkLessons Learned from Implementing Generative AIDr. Denise Turley
Vice President
US Chamber of Commerce
132:55PanelWomen in Generative AIModerator: Daniela Muhaj
Associate Director, Research and Technology Initiatives,
Georgetown University

Lana Graf, Global Lead AI, IFC
Diya Kwynn, Responsible AI, Amazon

Hannah Jung,
Senior Manager, AI
143:30PanelFuture of Work with Gen AI in FinanceModerator: Xiaochen Zhang, Chief Responsible AI Officer, AI 2030

Hugo Dante, VP, CFRA
Madhavi Najana, FHLB Cincinnati
Anne Griffin, AI NYC
154:00PanelMultimodal LLMs and The Future of Finance with Generative AIModerator: Raj Shroff

Sandeep Maira, Co-Founder & CTO Raven Risk AI
Prof. Jim Liew, President, SoKat, Advisory Partner, AI Capital
Stefano Pasquali, BlackRock, Managing Director
Michael D’Acampora, MITRE, Lead AI Researcher
4:30Closing Remarks & Networking

Date & Location

George Washington University
Jack Morton Auditorium
805 21st Street NW
Washington, DC

April 20th 2024


(Additional speakers confirming)


Professor Jamiel SheikhCEO,
Jamiel is founder & CEO of Scifn, a blockchain and AI services, education and products company, bestselling author, professor & educator, community builder, board member, event organizer, Forbes contributor, running media assets like Blockchain101.com and Currency Insider and products like Disburse, Instamint and Fnberry.

He founded the CBDC Think Tank which works with central banks and governments and runs AI NYC and Blockchain NYC, one of the largest communities in the world hosting events like DARC, DEFICON, AI+FIN and more. He has over 25 years of experience in technology, finance and capital markets. He is also an expert member of the UN Digital Currency Global Initiative and Digital Euro Association.

Jamiel is Innovation Fellow at Columbia Business School’s Lang Center for Entrepreneurship, holds an MBA from Columbia University’s Business School and BBA from Baruch College and is completing his second Masters in Artificial Intelligence from Georgia Institute of Technology.
Stefano PasqualiMD, Head of Investment AI Modeling and Research,
Stefano Pasquali leads the Investment AI (IAI) Team at BlackRock, focusing on the practical integration of Artificial Intelligence (AI) and Machine Learning (ML) into investment, liquidity, and trading analytics. With over two decades of experience in quantitative finance, Stefano’s current mission is to harness AI technologies to enhance the investment processes, emphasizing efficiency, transparency, and innovation. Stefanos team works with BlackRock investment teams and BlackRock’s technology, Aladdin. Aladdin is BlackRock’s technology platform that unifies the investment process and is leveraged by BlackRock and delivered to external clients.
At BlackRock, Stefano’s work is centered around the strategic deployment of AI and ML to not only improve investment outcomes but also to set new standards in the use of technology in finance. Their leadership is characterized by a commitment to innovation, with a focus on developing solutions that are both forward-thinking and grounded in real-world applicability.
Stefano’s team is focused on liquidity and trading analytics, investment signals, Natural Language Processing (NLP), and detecting market anomalies. Beyond these realms, the team is specialized in creating AI-empowered models and generating features at scale using Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and developing agents for “Talk to Models” that integrate financial analytics within the AI framework.
This group is as well developing AI tools for sentiment analysis, interpretability, and Explainable AI (XAI), enhancing investment strategies and market insight.
Previously, Stefano was Global Head of Liquidity Research at Bloomberg LP. Prior to joining Bloomberg, Stefano held senior positions at several European banks and asset management firms where he oversaw risk management, portfolio risk analysis, model development.
In addition, Stefano is an active participant in the broader finance and technology community, speaker and advisor at major industry conferences and contributing to the academic field through lectures at Rutgers University’s Master of Finance program and Columbia University. With his team Stefano publishes several papers in Trading and ML/AI.
Before his career in finance, Stefano was a researcher in physics focusing on Theoretical and Computational Physics.
Karen BhatiaFaculty Lecturer,
Stanford University
Karen Bhatia is a lawyer, policymaker and entrepreneur helping businesses and economies grow. She is currently a Faculty Lecturer at Stanford University and is a Visiting Practitioner at Cornell Tech, focused on business model innovation and technology for economic development. She previously led tech strategy at the NYC Economic Development Corporation, overseeing a $200+ Million portfolio of approximately 30 tech and entrepreneurship projects, including developing NYC’s strategy to develop a Center for Responsible Artificial Intelligence, leading NYC’s blockchain strategy, launching the first publicly-funded Virtual Reality/Augmented Reality Lab in the US, and expanding affordable broadband access in NYC.
Bruno MeloDirector,
NY Life Investments
Bruno Melo currently serves as a senior member of the Investment Consulting Group at NY Life Investment Management, tasked with managing investment risk for equity and fixed income mutual funds, alongside alternative investment strategies such as private equity, private debt, and real estate. Prior to his tenure at NY Life, Mr. Melo spent five years in a similar capacity at Credit Suisse Asset Management. He is currently pursuing a Master’s degree in Data Science at the City University of New York. Mr. Melo also holds a Master’s degree in Finance from the University of Lausanne, Switzerland, and an undergraduate degree in Mechanical Engineering from the University of Brasília, Brazil.
Rajendra ShroffDirector, Head of Applied AI Research,
Blu AI
Raj is the Director of Applied AI Research at Blu Artificial Intelligence, a consulting firm
specializing in AI strategy, projects, and education. He also teaches university courses covering
the business applications of AI, emerging technology, and digital marketing.
Raj previously worked at AXA, an insurance multinational, across project management and
finance functions. He holds a BSc in Management from the London School of Economics and an
MBA from The University of Hong Kong. You can find him online at https://linktr.ee/rajshroff.
Xiaoyang LiuCo-Founder,
Xiao-Yang Liu is a new faculty in the Department of Computer Science, Rensselaer Polytechnic Institute (RPI) University. He obtained his Ph.D. degree in the Department of Electrical Engineering, Columbia University. His research interests include tensor networks and high performance tensor computing, and deep learning. He created several popular open-source AI4Finance projects, including FinGPT, FinRL, and ElegantRl. He contributed one chapter to a textbook on “Tensors for Data Processing: Theory, Methods, and Applications”, and two chapters a textbook on “Reinforcement Learning for Cyber-Physical Systems”. He serves as PC members for NeurIPS, ICML, ICLR, AAAI, IJCAI, AISTATS, ACM MM, ACM ICAIF, ICASSP, and a Session Chair for IJCAI 2019. He organized the NeurIPS 2020/2021 First/Second Workshop on Quantum Tensor Networks in Machine Learning, IJCAI 2020 Workshop on Tensor Networks Representations in Machine Learning, and NeurIPS 2019/2020 Workshop on Machine Learning for Autonomous Driving.
Daniela MuhajAssociate Director, Research and Technology Initiatives,
Georgetown University
Daniela is the inaugural Associate Director for Research and Technology Initiatives at the Baratta Center for Global Business, Georgetown University. In this role, she spearheads innovative research and technology efforts aimed at shaping global business practices, emphasizing the private sector role in driving positive impact. Additionally, Daniela chairs the Global Fellows program for AI 2030, an organization committed to the responsible and ethical development of artificial intelligence.
Her career spans over a decade of applied economic research, impact evaluations, and the promotion of evidence-informed policy across a diverse range of institutions, geographies, and stakeholders. Daniela has held positions at the Central Bank of Slovenia, the International
Monetary Fund, Harvard University Center for International Development, the Massachusetts Institute of Technology (MIT), and Amazon Web Services (AWS).
While at AWS, Daniela conducted pioneering research on the environmental, social, and economic impacts of cloud computing services and infrastructure. Prior to AWS, she served as a Policy and Research Manager at the Abdul Latif Jameel Poverty Action Lab (J-PAL) at MIT, where she worked on the private sector, entrepreneurship, and labor markets' roles in economic growth and poverty alleviation. Among her notable accomplishments, Daniela was selected as a G20 Young Global Changer in 2019, contributing to the Berlin Global Solutions Summit and presenting her research on economic inequality at a G20 Tokyo event. Daniela holds a Master Degree in International Economics and Relations from the Johns Hopkins University School of Advanced International Studies (SAIS).
Anne GriffinProduct Manager,
Anne is a product manager, startup advisor, and subject matter expert in AI, blockchain, tech ethics and product inclusivity. She has lectured at universities such as Columbia and West Point, spoken at major events such as SXSW, and created courses for O’Reilly Media. She’s built her career in tech working with startups, including the blockchain technology company ConsenSys, and Fortune 500 companies such as Priceline, Comcast, and Microsoft.
She has been quoted in Rolling Stone magazine for her insights on AI. You can also listen to her takes on AI, blockchain, and other technologies on the YouTube Original series, RetroTech with Marquees Brownlee, and podcasts such as Blockchain Won’t Save the World, and Let’s Chat Ethics. Anne continues to work with and research the practical human aspects of technology and building products with emerging and disruptive technologies
Jim Kyung Soo LiewPresident, SoKat
Advisory Partner, AI Capital
Dr. Jim Kyung-Soo Liew is the President and Founder of SoKat and an Associate Professor of Finance at Johns Hopkins Carey Business School. Dr. Liew revels in pushing the boundaries of financial knowledge and product development both as an academic and Web3 entrepreneur. He has published pioneering research in the intersection of social media/big data, cryptos/blockchain, and financial markets. He currently teaches Big Data and Machine Learning, Cryptos and Blockchain, and Entrepreneurial Finance at the Johns Hopkins Carey Business School. Additionally, he serves as ACT-IAC’s Co-Chair of the AI Curriculum Committee and Chair of the Data Readiness for AI Committee. He has received the Dean’s Award for Faculty Excellence 2015-2019. He is on the Editorial Board of The Journal of the British Blockchain Association, Journal of Alternative Investments, Journal of Financial Data Science, and the Journal of Portfolio Management where he co-authored the most read Invited Editorial “iGDP?”.
About SoKat Consulting, LLC (www.SoKat.com) – SBA 8(a) Certified
Dr. Liew founded SoKat Consulting, LLC. SoKat creates award-winning, world-class Machine Learning / AI and Blockchain products and services primarily servicing institutional investors, government agencies, academic institutions, and select-startups. SoKat unlocks the hidden value of data through thoughtful and creative solutions, comprising of actionable business intelligence, transparent data analytics, bold predictive models, and next-generation investment products.
Previously, Dr. Liew has been with the Carlyle Asset Management Group, Campbell and Company, and Morgan Stanley. He holds a BA in Mathematics from the University of Chicago and a Ph.D. in Finance from Columbia University.
He currently resides just outside of Baltimore with his wife and two daughters, whom he hopes to raise as next-generation disruptors.
Xiaochen ZhangChief Responsible AI Officer,
AI 2030
Xiaochen is the CEO of FinTech4Good, a venture building firm to empower financial services through emerging technologies. He is also the Executive Director of AI 2030 and Chief Responsible AI Officer, an initiative aimed at harnessing the transformative power of AI to benefit humanity while minimizing its potential negative impact. Over the past 20 years, he has led teams in developing emerging technology solutions, launching transformative collaborative initiatives, and addressing impactful global problems alongside prestigious organizations like the World Bank, United Nations, Amazon Web Services, and others worldwide, reshaping the future of finance with artificial intelligence, web3 and other digital technologies.
Lana GrafGlobal Lead AI, IFC
Sandeep MairaCo-Founder & CTO,
Raven Risk AI
Sandeep Maira is a leader in the practical application of technology innovation, product development and driving business transformation. He has a deep background in artificial intelligence, high performance computing, data and analytics, along with cloud technologies.
He is the founder and CTO of Raven Risk AI. Raven is the first comprehensive AI platform for commercial credit asset management, leveraging advanced GenAI and ML techniques. Raven aims to improve productivity of underwriting due diligence enabling teams to increase deal flow and focus on higher value add tasks. In addition, the objective is to improve decisioning through more comprehensive outlooks and insights. The ML techniques being developed are at the cutting edge of parsing complex unstructured data formats and producing outputs of high accuracy. The framework is not specific to credit, and can be used in a wide variety of use cases.
Prior to Raven, he served as Managing Director of Strategic Systems at Options Clearing Corporation. He designed a framework replacing all processing with a new highly scalable, flexible and resilient cloud technology stack. Previously he was Head of Risk and Compliance technology for BNY Mellon. Prior to that he led a number of Risk Technology functions at JPMorgan including for JP Morgan Asset Management and JP Morgan Clearing. He helped lead the industry development of OTC cleared derivatives while at JP Morgan. Earlier he was at Citigroup and Lehman Brothers. He also has a background in crypto assets and implemented the first USD digital currency pilot with the US Treasury.
He is a frequent speaker on technology innovation and AI at conferences, universities and podcasts. He is on the AI and Fintech Advisory Boards for the Center for Financial Professionals (CeFPro) and AI Advisory board for the AI 2030 initiative. He has a Bachelor’s and Master’s in Computer Science from Cornell University.
Prof. Michael WellmanLynn A. Conway Collegiate Professor of Computer Science & Engineering
University of Michigan
Michael P. Wellman is Professor and Division Chair of Computer Science & Engineering at the University of Michigan. His research focuses on computational market mechanisms and game-theoretic reasoning methods, with applications in electronic commerce, finance, and cyber-security. Wellman previously served as Chair of the ACM Special Interest Group on Electronic Commerce (SIGecom), and as Executive Editor of the Journal of Artificial Intelligence Research. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery.
Ravi SarkarEnterprise CTO, MicrosoftRavi Sarkar is the Enterprise CTO within Microsoft’s Financial Services unit. In this role, he leads the technology strategy and innovation, and oversees the architecture and engineering of business solutions across the cloud and AI product stack for the Capital Markets industry.
With over two decades of expertise in software development, AI, and data-driven systems on cloud in finance, Ravi is a recognized fintech leader and influencer. He has defined new product categories, driven hypergrowth, and architected some of the most complex money transaction systems for tier one banks.
Ravi is a recipient of the Microsoft Technology Solution Achievers award and a former winner of the IBM Champions Award for innovation and financial technology research. He is also included in the Rise Global FinTech Power 100 List.
Ravi frequently speaks at industry events and conferences. He actively advises early-stage startups as well as the enterprise CIO/CTO peer community in NYC. Additionally, he is a contributor and speaker for the Green Software Foundation, working to reduce global carbon emissions associated with software.
Michael D’AcamporaLead AI Researcher,
Transitioning from commodity derivatives trading to contract specialist at NYC Transit, then to a data scientist in a crypto startup, and now as a lead researcher in digital assets and AI, Michael’s career encapsulates a unique blend of finance, technology, and innovation. With each role, Michael has leveraged analytical skills and a forward-thinking approach to navigate and shape the evolving landscapes of global markets and fintech, making significant contributions to the fields of digital finance and artificial intelligence.
Alison RooneyGlobal Head of Alliances and Partnerships; AI and Web 3
Alison Rooney is the Global Head of Capital Markets Partnerships and Alliances lead for Google Cloud. Designing, recruiting and aligning the best partners and ISVs to serve our customers within Financial Services. Alison harnessed a rich heritage in capital markets, banking, payments and early stage technology ventures to take advantage of Google’s technology and our increasing footprint in the industry. Alison focuses on Web 3 and Gen AI ISVs to build out solutions for our shared customers across the financial services ecosystem.
Before joining Google, Alison was a Principal Director in Accenture’s Technology Strategy and Advisory practice. Alison began her career in front office operations and loan negotiations where she honed her foundation in capital markets at Paribas Capital Markets and Merrill Lynch. Alison spent several years in financial services consulting leading engagements to implement new trading and payments platforms, regulatory change initiatives and drive measurable change for clients across the operations, risk, compliance and trading.
Alison received her AB in French Literature from Smith College and her MBA from Columbia Business School. Alison also studied at Universite de Paris; La Sorbonne.
Alison volunteers for many Veterans organizations including Google’s VetNet and holds other leadership roles at the YWCA of Greenwich and Smith College’s alumnae association.
Hugo DanteFinancial Services Policy Analyst, Vice President, Washington Analysis/CFRA ResearchHugo Dante joined Washington Analysis/CFRA Research in July 2023 as Financial Services & Housing Policy Analyst, Vice President. Hugo co-leads the financial services and housing policy portfolio. Prior to joining Washington Analysis, Hugo held a cross-functional role at Amazon Web Services as Market Insights & GTM Analyst for the International Financials and Digital Assets team, where he designed and deployed global go-to-market strategies supporting public sector financial institutions as they leverage digital assets, AI, data analytics, and blockchain solutions. Before Amazon, Hugo served as an Economist for the U.S. Congress Joint Economic Committee, covering housing, banking, financial services, cryptocurrencies, and general economic policy. He has also worked in the Office of the Chief Economist at the American Bankers Association, and as an MA Fellow at the Mercatus Center at George Mason University. Hugo is currently ABD and pursuing his PhD in economics at George Mason University, having previously earned his Master of Arts (M.A.), also in economics. He holds a Bachelor of Science (B.S.) degree in general chemistry from the University of North Alabama, Honors College.
Jochen PapenbrockHead of Financial Technology – EMEA, NVIDIAJochen is Head of Financial Technology EMEA at NVIDIA, the globally leading accelerated computing platform company. He has spent the last 25 years in various roles on the topic of AI in financial services, as a thought leader, implementer, researcher, and ecosystem shaper. He works with executives, data scientists, developers, partners, and communities in the global NVIDIA ecosystem. At NVIDIA he also leads up the global topics Trustworthy AI and Sustainable Finance / Environmental Risk in financial services. Jochen is a financial data scientist and received his degree and doctor from the Karlsruhe Institute of Technology (KIT). Before NVIDIA he worked as a consultant, entrepreneur, and researcher with asset managers, banks, insurance companies, and central banks.
Madhavi NajanaSoftware Engineering Manager, Federal Home Loan Bank of CincinnatiMadhavi Najana is a Software Engineering Manager at Federal Home Loan Bank of Cincinnati, with over 18 years of experience in Software engineering. She is a seasoned Software Engineering Leader who has successfully developed and architected applications in various domains and technologies. Her professional journey has afforded an opportunity to work with a diverse range of cutting-edge technologies – Software Engineering, Cloud computing, AI/ML, Identity and Access Management, Agile, Scaled Agile, DevOps, IT strategy, and Fintech. She successfully led cross-functional teams in delivering innovative solutions in the financial services domain. She brings a depth of knowledge and expertise in various cutting-edge technologies, processes, and best practices. Throughout her career, Madhavi have been at the forefront of technological innovation, actively engaging with and implementing the latest advancements. Madhavi volunteers in AI 2030 as a global fellow, Society for Women Engineers, Strategic AI Advisory member for Ashland University.
Madhavi holds MBA from Xavier University- USA, Master of Technology in Computer Science and Engineering, Master of Computer Applications, Bachelor of Science in Computer Science from Acharya Nagarjuna University. She earned various certifications in Azure – AI, Data Science, Security, Compliance & Identity, OKTA, Scaled Agile, Agile Scrum, Six Sigma, Change Management, and Leadership.
Diya KwynnResponsible AI Lead, AWSDiya is a Responsible AI Lead at AWS that started and led customer engagement globally on Responsible AI. In 2023, she was named one of Business Insiders top 15 in Enterprise AI and top 100 in AI, one of 100 Brilliant Women in AI EthicsTM, received the VentureBeat Women in AI – Responsible AI award. She makes Responsible AI practical and accessible. Her focus with organizations is the intentional action of building trust in AI by mitigating risks and uncovering potential unintended impacts related to its development, deployment and its use. She has met with legislators and policy makers globally to provide perspective to influence imminent regulation and policy on AI. For the first 15 years of her career, she worked at early-stage companies in roles focused on scaling products for acquisition and consulting. She is an author and international speaker; serves on non-profit boards; volunteers through multiple organizations; and guest lectures on responsible and inclusive technology. When she isn’t working hard on the future of AI, she’s working hard to influence the future. For Diya, this starts at home with her two sons but extends to the dozens she mentors, whom she encourages to color outside the lines, defy the odds, and redefine boundaries.
Jayeeta PutatundaSenior Data Scientist, Manager – Emerging Technology,
Fitch Ratings
Jayeeta is a Senior Data Scientist, Manager – Emerging Tech with several years of industry experience in Natural Language Processing (NLP), Statistical Modeling, Product Analytics, and implementing ML solutions for specialized use cases in B2C as well as B2B domains.
Currently, Jayeeta works at Fitch Ratings, a global leader in financial information services. She is an avid NLP researcher and gets to explore a lot of state-of-the-art open-source models to build impactful products and firmly believes that data, of all forms, is the best storyteller.
Jayeeta also led multiple NLP workshops in association with Women Who Code, and GitNation among others. Jayeeta has also been invited to speak at the International Conference on Machine Learning (ICML 2022), ODSC East, MLConf EU, WomenTech Global Conference, Data Science Salon, The AI Summit, and Data Summit Connect, to name a few.
Jayeeta is also an ambassador for Women in Data Science, at Stanford University, and was a Data Science Mentor at Girl Up, United Nations Foundation, and WomenTech Network where she aims to inspire more women to take up STEM. Jayeeta has been nominated for the WomenTech Global Awards 2020 and has been spotlighted in the List of Top 100 Women Who Break the Bias 2022.
Sonia ComanVice President,
Elm Street Consulting Group
Sonia Coman has over 10 years of experience in innovation management, content strategy, audience engagement, and branding, working with diverse and global clients in the arts, business, and technology sectors. She is the Vice President of Elm Street Consulting Group in Washington DC and one of the founding partners of the International Institute for Information Security and AI (IIISA). She is also the Director of Digital Engagement at Washington National Cathedral, where she leads the institution’s digital transformation, and a member of the core team of The World Innovation Network (TWIN), a network of networks for Fortune 500 CEOs, serial entrepreneurs, and innovators, where she advises on visual content strategy. She has a PhD from Columbia University and is a published scholar in management history and creative enterprise.
Hannah JungSenior Manager, AI
Hannah Jung is a Senior Manager at IBM, where she leads programs developing full-stack AI solutions and strategy for US Federal clients. Her teams research and architect novel AI approaches for deployment within the US Government, including a generative AI solution for the Department of Defense in 2020. Hannah also oversees internal technical and business development efforts, including identification of strategic investments and partnerships, commercialization of AI offerings, and development of go-to-market strategy. She is frequently engaged as speaker at conferences, including as a keynote at the IBM Tech 2023 Conference. Additionally, Hannah holds lead roles in AI ethics, AI education, AI policy, recruiting, and diversity & inclusion efforts, and served as the youngest member appointed to the Federal Senior Leadership Team to identify and execute IBM’s strategic priorities in the Federal sector. She has developed 5 AI products at IBM and holds 1 AI patent (Convolutional Neural Network with Augmentation Features).

In 2023, Hannah was a Fellow with the World Economic Forum, where she led research on the responsible adoption of generative AI across enterprises in collaboration with C-suite executives from Fortune 100 companies, US Government and foreign ministries, and academic institutions. In partnership with the World Economic Forum’s AI Governance Alliance, she published “Unlocking Value from Generative AI: Guidance for Responsible Transformation” at the Annual Meeting 2024 in Davos. Previously, she worked as a software developer at Goldman Sachs and has conducted research at MIT and the National Institutes of Health. Hannah holds BAs in Physics and Computer Science from Wellesley College. When not in pursuit of the next evolution of human or artificial intelligence, Hannah can be found on the squash or tennis courts, around the fine dining scene, or acquiring art.
Diana DorofteiHead of Strategic Partnerships,
Diana has recently joined Scifn as the Head of Strategic Partnerships. She has over 10 years of experience in cybersecurity, digital adoption and transformation, and security awareness within several multinational companies. She also serves as the Lead for Cybersecurity Program Delivery for Bose Corporation where she oversees the implementation of initiatives across security operations, enterprise security, governance, risk and compliance and product security. Diana is currently exploring the use of AI within the security landscape. Prior to Bose, Diana was with Blackstone and Oliver Wyman as part of their digital transformation, adoption and security awareness initiatives. She has a Masters in Technology Management from Columbia University.
Dr. Denise TurleyVice President, Corporate Systems,
U.S. Chamber of Commerce
Dr. Denise Turley is a distinguished leader in the intersection of technology and education, with over a decade of experience shaping the future of academic and corporate systems through innovative practices. She holds a Doctorate in Organizational Leadership and has completed advanced degrees in E-commerce, Business, and Accounting.
In her current role as an Assistant Professor and IRB member at the University of the Southwest, Dr. Turley excels in creating an engaging, inclusive, and high-performing classroom environment. Her teaching methodology emphasizes the critical role of
technology in education, enhancing student engagement and retention through tailored feedback and diverse instructional strategies.

Beyond the classroom, Dr. Turley is the Vice President of Corporate Systems at the U.S. Chamber of Commerce, where she spearheads the strategic development and operational oversight of enterprise-wide technology solutions. Her expertise is pivotal in driving the adoption and performance of critical systems, including CRM, email marketing, and financial and human resources platforms, ensuring seamless integration and maximum operational efficiency.

Dr. Turley’s commitment to technology and education extends into her volunteer work and public speaking, where she advocates for the empowerment of women in technology and the use of AI to enhance educational outcomes for disadvantaged students. Her work has established her as a thought leader in leveraging AI and Large Language Models to break down educational barriers and foster a more inclusive and effective learning environment.
With a proven track record of visionary leadership and operational excellence, Dr. Turley continues to influence the fields of technology and education, striving to bridge the gap between academic theory and practical application in her every endeavor.

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