How will Artificial Intelligence Impact Our Lives in the Future?

Shawn Edwards is Bloomberg’s Chief Technology Officer. Based in New York, he oversees the development of Bloomberg’s global technology strategy, including enhancements to the company’s core business, the Bloomberg Professional service.

Shawn and his team, in partnership with Bloomberg’s global Engineering team, are instrumental in the ongoing development of Bloomberg’s leading market data, analytics, news and community products. The team researches existing and emerging technologies, architects solutions in strategic areas and sets the technology direction for the company.

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Timnit Gebru works in the Fairness Accountability Transparency and Ethics (FATE) group at the New York Lab. Prior to joining Microsoft Research, she was a PhD student in the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Her main research interest is in data mining large-scale, publicly available images to gain sociological insight, and working on computer vision problems that arise as a result, including fine-grained image recognition, scalable annotation of images, and domain adaptation. The Economist and others have recently covered part of this work. She is currently studying how to take dataset bias into account while designing machine learning algorithms, and the ethical considerations underlying any data mining project. As a cofounder of the group Black in AI, she works to both increase diversity in the field and reduce the impact of racial bias in the data.

Harold Jean-Baptiste is the Executive Director-Chief Data Scientist at Segmint, where he is responsible for managing the data science ecosystem and developing progressive algorithms. Harold is a seasoned data scientist with over 15 years of experience in the financial services and insurance industries.

Harold joined Segmint from General Electric Asset Management (GEAM) where he developed investment algorithms for fixed income and equities in his role as the Quantitative Strategist & Senior Data Scientist. Prior to GEAM, Harold lead a group at Infosys Data Science where he implemented Big Data Hadoop technology architecture and solutions for Fortune 500 companies.

Earlier in his career, Harold held various data science roles at Citi Group and Wyndham Worldwide.
Harold holds a Bachelor of Integrated Information Systems and a Master of Business Administration in Finance from Long Island University.

(Moderator)

Mr. Mitchell joined Bloomberg in 2009 as an Equity Market Specialist. He focuses on quantitative equity strategies, and equity derivatives. In this capacity he interacts with buy-side and sell-side portfolio managers, analysts and traders to support all related analytical, market surveillance, and transaction-related functionality available via the Bloomberg Professional Service.

Prior to joining Bloomberg, Mr. Mitchell worked as a Managing Director in the Structured Equity Products group at Bear Stearns & Co. His team was responsible for idea generation, structuring, and distribution of structured investments and derivatives including ETNs, and systematic strategies. Previous to joining Bear Stearns, Mr. Mitchell worked for Deutsche Bank and Merrill Lynch in equity derivatives sales and structuring.

Mr. Mitchell has a BS in Electrical Engineering from the University of Maryland and an MBA in Finance and Statistics from the NYU Stern School of Business.

Amanda Stent is a NLP architect at Bloomberg LP. Previously, she was a director of research and principal research scientist at Yahoo Labs, a principal member of technical staff at AT&T Labs – Research, and an associate professor in the Computer Science Department at Stony Brook University. Her research interests center on natural language processing and its applications. She holds a PhD in computer science from the University of Rochester. She has authored over 90 papers on natural language processing and is co-inventor on over twenty patents and patent applications. She is program co-chair for the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and one of the rotating editors of the journal Dialogue & Discourse. She is also a board member of the Computing Research Association subcommittee on the status of Women in the profession (CRA-W).

Naz Quadri heads quantitative research and modeling for Bloomberg’s Enterprise Solutions team, a position he’s held since September 2015. His team develops the financial models, bespoke AI and machine learning used by Bloomberg’s award winning liquidity analytics as well as other domains.

Naz came to Bloomberg in 2013 as the global business manager for Bloomberg’s derivatives trading tools and analytics. He brought with him extensive experience designing financial models, particularly for rates instruments, as the global head of technology for Morgan Stanley’s Interest Rate Derivatives Trading Group for more than eight years. He was part of the team that built the risk assessment and mitigation technology the bank needed to calculate credit and default risk in the wake of the financial crisis. Prior to working for Morgan Stanley, he also served as a senior technologist with ABN AMRO’s Market Risk group and began his career at Goldman Sachs.

In the early 2000’s, Naz started a company called BackChat, which pioneered the first telephony-based, zero training continuous speech voice recognition software.

Naz earned his Masters degree in Mathematics, with distinction, from Warwick University in the United Kingdom.