Ron Boger

Graduate Student Researcher

2022 - Current

Doudna lab

Venture Partner

2020

Consultant / Advisor

2020

Strategy, scientific advisor, and fundraising consulting for biotech/deep-tech companies.

Tech Lead - Machine Learning + Biology

2019 - 2020

Tech lead on a team at X (formerly Google X), Google's semi-secret research and development lab, working on a confidential moonshot project at the intersection of biotechnology and artificial intelligence. Details under NDA. Led machine learning for early pipeline project, managed team of 4 scientists and engineers, designed machine learning and computational biology strategy, oversaw data and computational research collaborations, and collaborated closely with project lead to incorporate AI into vision of project.

Machine Learning Scientist

2018 - 2019

Co-Founder

2015 - 2018

Founded and led international medical hackathon to promote collaboration and innovation in medicine and engineering. To date, MedHacks has been attended by thousands participants, raised over $500,000, and has partnered with the likes of Blue Cross Blue Shield, KPCB, Johns Hopkins Medicine, Google, and more. Projects developed at MedHacks have range from at-home carpel tunnel therapies to phone-app that diagnoses degenerative diseases such as Parkinson’s. 2015 - Founding Director • Launched an annual, international medical hackathon with the mission of catalyzing health technology ideation and development. • Assembled and led team of 13 students and faculty advisor in the top ranked Biomedical Engineering department. Served as principal director for 2015 event. • Built relationships with dozens of biotech startups, technology incubators, life sciences companies, and venture capital organizations. Raised >$70K for operations from likes of Google, KPCB, 500 Startups, and more. • Served as primary developer and designer, creating and maintaining medhacks.org website and all graphic designs. 2016 - Chairman

Engineering Fellow

2016 - 2017

Venture Partner

2016 - 2017

Graduate Student Researcher, VisionLab

2016 - 2017

Researched machine learning and compressed sensing. Published in ICCV workshops for subspace learning.

Course Assistant

2015 - 2016

Course assistant for graduate level computer vision course (600.461/661)

Research Assistant

2015 - 2015

Systems neuroscience and machine learning research under supervision of Dr. Joshua Vogelstein as part of Neurodata and Institute for Computational Medicine

Mentor

2015 - 2017