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.

Claire Saint-Donat was most recently Director of Data Science at Bain Capital, where she lead the Bain Capital Data Science Team and the AI Center of Excellence. In this role, she oversaw a team of data scientists and machine learning engineers who develop and deploy advanced analytics solutions for various business units, including private equity, venture capital, and impact investing.

With a strong background in data analysis, visualization, and modeling, Ms. Saint-Donat has domain expertise in healthcare, technology, and financial services. She has created impactful products and services, such as a clinical trial matching system using inferred biomarker status, a personalized music recommendation engine, and a data-driven investment platform.

Prior to joining Bain Capital, Ms. Saint-Donat was a Senior Data Scientist at The Blackstone Group and a Data Science Lead at the Cerberus Capital portfolio company, New Avon. She has also worked as a Senior Data Scientist at technology companies and in the healthcare industry. Throughout her career, she has consistently leveraged data to create strategic value, collaborating with diverse and talented teams.

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

Currently the Head of Data Strategy at Jump Trading, a quantitative trading firm. At Jump, Stewart drives the Data Strategy Group to remain on the vanguard of current data-sphere and research methods. Stewart also collaborates with Jump Capital, Jump's venture capital endeavor, to seek out promising investment opportunities in the FinTech space. In the 19 years prior to joining Jump in mid-2017, Stewart has held similar roles at PDT Partners, Cubist Systematic Strategies, and HBK Capital Management.

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.