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Co-founder, Chief AI & Technology Officer @ Personal AI | AI + ML, Enterprise + Healthcare + Consumer, MIT CSAIL/EECS/Biology/Economics
I am a scientist, a creator, and a builder. I believe in data, innovation, and humans. I am passionate about people and about technologies that evolve alongside humanity. I have pursued expertise in artificial intelligence for over the past decade, building NLP products that impact the lives of patients, employees, and everyday people. I strive to build companies that move the world forward - embracing the principles of original thinking and authentic AI. And that is why my partners and I are creating Personal AI. The Lovelace Podcast: Coming soon
Massachusetts Institute of Technology
Bachelor’s Degree, Electrical and Computer Science Engineering
January 1, 2004 – January 1, 2008
Massachusetts Institute of Technology
Bachelor’s Degree, Biology, General
January 1, 2004 – January 1, 2008
Marble Collective
Founding Member
October 1, 2023 – Present
New York, United States · Remote
Reforge
Member
March 1, 2023 – February 1, 2024
VU Venture Partners
Venture Fellow
September 1, 2022 – December 1, 2022
San Francisco Bay Area
Chief
Member
June 1, 2022 – May 1, 2023
United States
On Deck
ODF8
February 1, 2021 – May 1, 2021
United States
Personal AI
Co-founder, Chief AI & Technology Officer
March 1, 2020 – Present
San Francisco Bay Area · Hybrid
Engineering Manager - Applied Sciences
February 1, 2019 – July 1, 2020
Sunnyvale, California
Glint Inc.
Head of Machine Learning
June 1, 2016 – January 1, 2019
Redwood City, CA
Kaiser Permanente
NLP/Data Consultant
November 1, 2015 – May 1, 2016
Division of Research
Linguamatics
Clinical NLP Specialist
September 1, 2014 – May 1, 2016
San Francisco Bay Area
Parametros Capital
Software Engineer (HFT)
April 1, 2013 – August 1, 2014
Lexington, MA
Nuance Communications
Senior Software Research Engineer
March 1, 2010 – April 1, 2013
Burlington, MA
eScription
Software Research Engineer
June 1, 2008 – February 1, 2010
Burlington, MA
Massachusetts Institute of Technology
Undergraduate Student Researcher
January 1, 2005 – June 1, 2008
Predicting Type II Diabetes Diagnosis from EHR Data
September 1, 2012 – December 1, 2012
This project uses multiple machine learning techniques - Gradient Boosted Trees, Neural Network, and Support Vector Machines on EHR data to predict diagnosis for patients with diabetes type II. Data is supplied by Practice Fusion in their Kaggle project.
Cultural Fit Analysis
The candidate's diverse experience across startups (Personal AI, Glint Inc.), large corporations (LinkedIn, Nuance), and venture capital (VU Venture Partners) indicates adaptability to various organizational cultures. Their involvement in multiple professional communities (Reforge, Chief, On Deck, Marble Collective) suggests a proactive approach to networking and continuous learning. The target role of 'Data Analyst' might be a step down from their senior leadership and co-founder roles, which could impact long-term cultural fit if the role does not offer sufficient scope for strategic impact and technical depth in advanced analytics or machine learning.
Soft Skills & Operational Fit
The candidate's career trajectory shows a strong inclination towards leadership, innovation, and strategic roles within AI and technology. Their experience as a co-founder and in various leadership positions suggests strong initiative, problem-solving, and potentially good communication and team collaboration skills. However, without specific psychometric or communication test results, these are inferred from career progression rather than direct assessment.