New York winter data summit 2023

Beth is a Data/Data Science Operating Partner with 20+ experience building Decision Systems.  She supports PE-backed growth oriented companies in achieving top line growth and scale through Data Science integrated Product vision, Data Monetization and overall Data Strategy execution.

Previous to launching her own firm, she led Data Driven Value Creation efforts as an Operating Advisor for Warburg Pincus.  Beth has led operationally-oriented deep diligence and decision system development roles at institutions including Goldman Sachs and Private Equity firm Littlejohn.   She completed a Masters Degree and Post Grad work in Data Science at the Massachusetts Institute of Technology (M.I.T.) and an undergrad from Rutgers University.

‍

Claire Saint-Donat joined Bain Capital in 2022. She is the Director of Data Science, where she leads the Bain Capital Data Science Team and the AI Center of Excellence. In this role, she oversees 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.

Prior to founding Seven Eight, Steve co-managed the Statistical Arbitrage Group at IVC Americas. Steve previously worked as a quant trader on the proprietary trading desks at both Lehman Brothers and Bank of America Merrill Lynch and as a Portfolio Manager at WorldQuant.

He has an extensive background in applied mathematics and finance, holding a BS in Finance with a minor in Mathematics from Fordham and an MS in Computational Finance from Carnegie Mellon University.

Steve has given guest lectures on quantitative finance at Carnegie Mellon University, MIT, and University of Chicago and as part of the “How I Became a Quant” series for the International Association for Quantitative Finance. He also sits on the alumni admissions committee for Carnegie Mellon University's MS in Computational Finance.

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.

Adam Brown is a Vice President in the Systematic Advisory Sales (SAS) team at Morgan Stanley focused on the marketing, sales, and distribution of Morgan Stanley’s Quantitative Assets (MSQA). This entails servicing institutional clients with research, signals, and strategies to help them achieve alpha generating returns and manage risk. He has at been at Morgan Stanley for almost eight years, with previous roles of servicing institutional quant clients in the firm’s Prime Brokerage Division, and as an equity derivatives associate in cash settlements.

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.
‍

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.
‍

Adam is an MIT System Design and Management Fellow. He received a B.A. from Harvard University and an M.S. from MIT.

‍

Amarachi Miller is the VP of Product & Commercialization at AnthologyAI (parent company of Caden), spearheading the teams and development of the Caden consumer application and the Anthology suite of enterprise data, AI and ML products. Amarachi joined the company after a decade of software and data product leadership experience; most recently leading the team building measurement and optimization tools at healthcare marketing platform DeepIntent, retail measurement platforms at Amazon advertising and leading product management and data science teams at Paramount (fmr. ViacomCBS) and GroupM. A recognized leader in decision science, advanced TV and measurement, Amarachi has sat on the Product Council at OpenAP and various IAB working groups and collaborated across publishers, data originators, software service providers, and the media agency umbrella.

Andreas Zagos, a graduate of chemical engineering from the University of Stuttgart, embarked on his professional journey at the Fraunhofer Group in Stuttgart, specializing in innovation management and patents.

‍

In the year 2000, he co-founded InTraCoM GmbH, a company offering services and software for patent research and analysis. One of his most significant contributions was the development of an indicator-based patent valuation method, which utilizes advanced AI, ML, and NLP technologies. In recognition of his expertise, he was appointed as a guest professor for patent management at the Technical University Cluj-Napoca in Romania in 2006.

‍

Additionally, Andreas joined IPR Strategies Ltd. as an advisory board member in 2015, where he effectively leverages patent value data for the benefit of the financial sector. Notably, he actively contributes to the Licensing Executive Society International [LESI], serving in the IP valuation committee.

‍

With 28 years of experience in the patent space, Andreas Zagos is renowned worldwide as a captivating speaker, often sought after to present at numerous conferences and roundtable discussions.