Experience

Atomwise

• United States
• Biotechnology Research
• 1 - 100 Employee

• Scientist

  • Sep 2022 - Present

  Developing and validating deep learning models to accelerate drug discovery. Developing and validating deep learning models to accelerate drug discovery.



University of California, Berkeley

• United States
• Higher Education
• 700 & Above Employee

• Graduate Student

  • May 2016 - Dec 2022

  Built machine learning methods for consensus and basecalling of nanopore sequencing data. Developed an algorithm to find a consensus sequence from two complementary reads, which halved the error rate and was adopted into the official Oxford Nanopore basecaller. Built machine learning methods for consensus and basecalling of nanopore sequencing data. Developed an algorithm to find a consensus sequence from two complementary reads, which halved the error rate and was adopted into the official Oxford Nanopore basecaller.



University of California, San Francisco

• United States
• Higher Education
• 700 & Above Employee

• Graduate Student

  • Sep 2012 - Dec 2015

  Probed transcriptional feedback loops using deterministic and stochastic models of gene regulatory networks. Applied techniques in experimental cell biology to explore epigenetic cellular memory in Candida albicans. Probed transcriptional feedback loops using deterministic and stochastic models of gene regulatory networks. Applied techniques in experimental cell biology to explore epigenetic cellular memory in Candida albicans.



IRB Barcelona

• Spain
• Research Services
• 300 - 400 Employee

• Research Assistant

  • Jun 2011 - Jun 2012

  Validated a Monte Carlo approach for fitting protein structure ensembles to data from biophysical experiments (NMR and small angle X-ray scattering). Applied method to reveal novel interactions in a protein implicated in neurodegenerative disease. Validated a Monte Carlo approach for fitting protein structure ensembles to data from biophysical experiments (NMR and small angle X-ray scattering). Applied method to reveal novel interactions in a protein implicated in neurodegenerative disease.



University of California, Berkeley

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • Jan 2009 - May 2011

  Implemented bioinformatics pipeline to look for groups of co-evolving amino acids in proteins. Integrated bioinformatics with molecular simulation to examine enzyme conformational change. Implemented bioinformatics pipeline to look for groups of co-evolving amino acids in proteins. Integrated bioinformatics with molecular simulation to examine enzyme conformational change.