Machine Learning

Equilibrium Energy

[2022 - 2024] VP, Head of AI & Science

Built and grew the Sciences organization at Equilibrium Energy, comprising Machine Learning, Power Systems, Operations Research & Optimization, Quantitative Trading, and Analytics. My applied research teams a) develop the autonomous ML & Optimization powered forecasts and algorithms responsible for operating and maximizing revenue from industrial-sized batteries in the US electricity markets, and b) create & operate novel power market convergence bidding trading strategies, achieving exceptional realized sharpe and sortino ratios. Reporting to the CEO

04/2023 - 02/2024 : Promoted to lead of all Equilibrium’s sciences as a core member of EQ’s Senior Leadership Team.

02/2022 - 03/2023 : Leading Data Science, Machine Learning, and Quantitative Analytics

Amazon.com

[2020 - 2022] Head of ML Science, Retail Pricing

Led machine learning and reinforcement learning science initiatives for Central Retail Pricing. My group developed models, solutions, and platforms to drive the price competitiveness, improved customer perception, and increased long term value of product prices for over $XXB of annual retail product revenue worldwide.

In under two years, my teams:

Re-designed and scaled our elasticity & reinforcement learning based dynamic pricing system for private brand and core retail products WW
Developed and deployed a synthetic counterfactual financial metrics tracking & reporting framework
Devised and aligned multiple VP-level orgs around novel initiatives and a 3-5 year science vision for Amazon pricing
Identified gaps and suggested scientific improvements in Central Pricing's A/B testing platform
Improved ML-driven pricing models and price competitiveness by between 50%-75% across 9+ countries
Generated over $0.XB incremental annual long term free cashflow through science driven pricing enhancements & improved customer pricing

03/2021 - 02/2022 : Base Pricing, Private Brands, Competitor Matching

05/2020 - 02/2021 : Base Pricing, Private Brands

Tempus Labs Inc

[2017 - 2020] Senior Director, AI & Data Science

Career transition from trading to machine learning. Built & led cross-functional teams of machine learning scientists and engineers, researching predictive models in oncology and cardiology. Initially reporting to the CTO, then to the CoAI.

Established DS core tenets, career matrix, hiring best practices, and ML architectural vision.
Presented our ML initiatives to board and in funding rounds as the company grew to +$5B valuation.
Envisioned and built MVP for what later became the Tempus LENS dashboard product
Led deep pharma research projects to help leadership seed discussions & win partnerships
Led internal Oncology research projects for patient survival, drug response, and site of metastasis prediction
Led internal Cardiology modeling into Atrial Fibrillation prediction from ECG data, leading to FDA breakthrough device designation for the Tempus AFib analysis platform
Multiple patents and publications.

2018 - 2020 : Promoted two levels to Senior Director

2017 - 2018 : Technical leader of early data science efforts

An interview with my early team at Tempus Labs for a Built In Chicago article

Kaggle.com Machine Learning Competitions Contestant

[2014 - 2018]

For several years, I actively participated in crowd sourced machine learning contests on the Kaggle platform, placing in the money on multiple occasions, and ultimately earning their competitions Grand Master status. At peak, I was ranked in the top 10 participants on the overall competitions platform globally. Although retired since early 2018, I am still an avid proponent of the benefits of the platform, and continue to monitor and engage with the wider community.