Experience

Invitae

• United States
• Biotechnology Research
• 700 & Above Employee

• Machine Learning Engineer

  • Jan 2020 - Present

  - Tech Lead, probabilistic modeling for variant interpretation. Spearheaded development of a novel Bayesian inference model for variant classification -- including orchestrating knowledge engineering with domain experts, core statistical capabilities development with Pyro, and insight generation from trained models for rapid business and patient translation. - Lead, phenotype-based variant inference models (a.k.a. Clinical Variant Models). Developed a suite of high-performance (AUROC>0.9) condition-specific ML models for variant interpretation from patient clinical data. Build and deployed interactive front end for facilitating use of the model across teams and purposes. - Lead, population frequency model for variant interpretation. Designed, built and deployed a multi-gene machine learning model resulting in novel evidence for ~50,000 observed variants, benefitting ~250,000 patients and counting. Resulted in the indefinite reduction of variant interpretation burden by ~3-5%. - Started and led development of three software packages to facilitate rapid development, validation and deployment of machine learning models for variant interpretation (VI), including tools for training, hyperparameter optimization, validation, artifact storage, model persistance, visualization, deployment and more. Show less



Insight Data Science

• United States
• Higher Education
• 1 - 100 Employee

• Health Data Science Fellow

  • Sep 2019 - Jan 2020



Columbia University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • May 2016 - Sep 2016

  Computational neuroscience Computational neuroscience



Kaplan Test Prep

• United States
• Education Administration Programs
• 700 & Above Employee

• Teacher

  • Jun 2012 - Jun 2015

  MCAT, SAT Course Instructor MCAT, SAT Course Instructor



New York Medicine Jobs

• Higher Education
• 100 - 200 Employee

• Research Assistant

  • 2013 - 2015

  I designed and implemented experiments in the study of pain, both chronic and acute. The techniques were varied, but the domains included biochemistry, electrophysiology and computer science (including machine learning). I designed and implemented experiments in the study of pain, both chronic and acute. The techniques were varied, but the domains included biochemistry, electrophysiology and computer science (including machine learning).



ImClone Systems, a wholly-owned subsidiary of Eli Lilly and Company

• Biotechnology Research
• 200 - 300 Employee

• Intern

  • Jun 2011 - Aug 2011



ImClone Systems, a wholly-owned subsidiary of Eli Lilly and Company

• Biotechnology Research
• 200 - 300 Employee

• Intern

  • Jun 2010 - Aug 2010

  I was responsible for performing a variety of assays and procedures, including ELISA, gel electrophoresis, transfection, FACS, and routine cell culture. I was responsible for performing a variety of assays and procedures, including ELISA, gel electrophoresis, transfection, FACS, and routine cell culture.