San Francisco Data Summit 2024

Ben Cohen is Director of Data Strategy at WorldQuant LLC, where he leads the team responsible for identifying and securing all of the data that helps WorldQuant’s various investment strategies.

Peter is a Senior Software Engineer at Google; one of the first Engineers on Gemini (then Bard) and, before that, the Assistant.

Aashmeet Kaur Kalra leads the Innovation with Google Product Team and Field Team on AI/ML. She works with product innovation on the Vertex AI platform and GCP AI Infra capabilities and building strategic alignment on leveraging GenAI with customers, Google Deepmind and GCP product teams. She provides strategic advisory to GCP’s strategic and enterprise customers across the globe.

Aashmeet has 16+ years of organizational development experience, with a background as a polyglot programmer having extensive experience in application development, machine learning and integration across on premise, cloud and hybrid platforms. She has worked in multiple domains such as Insurance, Postal, Retail, Finance, public sector and Healthcare, and across solutions architecture and data science initiatives for Independent Software Vendors (ISV) and Digital Native businesses (DNB).

Adam is a Partner at Pinegrove Capital Partners, where he leads the data science group. In this role, Adam is responsible for spearheading research and development of advanced analytics solutions.
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Previously, Adam lead Berkshire Partners’ data science group. In this role, Adam harnessed internal and external data in public and private equity investing and drove data science and engineering initiatives across the investment lifecycle: algorithmic sourcing, data-driven due diligence, and portfolio company value creation.

Prior to joining Berkshire, Adam worked as a Research Scientist at Harvard Medical School’s Predictive Medicine Group. In this capacity, he developed advanced predictive models in Medicine and Pharma. Adam’s background as a Data Scientist spans various sectors, employing advanced computational methods and artificial intelligence in steering strategic decisions and crafting innovative, data-driven solutions.
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Adam is an MIT System Design and Management Fellow. He received a B.A. from Harvard University and an M.S. from MIT.

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Amanda Widjaja is the Head of Data at Norwest Venture Partners, a VC and Growth Equity fund in the Silicon Valley with $15.5 Billion under management. She oversees initiatives that augment the firm’s investment process using data science and engineering, from identifying interesting companies all the way to portfolio tracking, and is an advisor of their portfolio companies in the areas of analytics and data engineering.

Prior to that, she came from Facebook as the first data hire on the Social VR projects within their AR / VR and hardware org where they shipped nascent and experimental products. Earlier in her career, she went to pastry school and apprenticed for a chef in France, founded and sold a multi-unit F&B chain in Indonesia, and was a BI Engineer at PitchBook Data.

Aris Tentes is an Executive Director at Morgan Stanley and a member of the Quantitative Investment Strategies (QIS) Research team, based in New York. His research focuses on the development of quantitative signals and portfolio construction approaches, specializing in the cash equity space.

Before joining Morgan Stanley, he worked as a quantitative researcher at Deutsche Bank after starting his career in finance at Goldman Sachs in London. Aris earned his PhD at New York University in 2014.

Artemiza has over 15 years of investment management experience.   Before co-founding Integrated Quantitative Investments,  Artemiza was most recently a quantitative researcher at Man Numeric. Her research efforts focused on alpha signals, data processing, and model construction.

Prior to joining Man Numeric in 2015, Artemiza was at Russell Investments for over a decade, where, as senior researcher, she focused on quantitative manager selection. Artemiza has taught courses in finance, economics and statistics at the University of Washington and the University of Auckland, New Zealand.

Artemiza has a PhD in finance from University of Washington, and an MSc and BSc(Hons) in mathematics from University of Auckland.  Her academic research focused on asset pricing and portfolio optimization. She has published in prestigious academic journals such as the Journal of Finance, Journal of Portfolio Management, and Management Science.

Barney joined Neudata's research team in 2021, where he is responsible for uncovering new datasets across a range of sectors including ESG, digital and consumer-oriented landscapes. Previously, Barney spent three years at an executive search firm executing mandates across ESG, distribution, investment roles.He holds an MA in History from the University of St Andrews.