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Director, Machine Learning at Freenome
With over ten years of experience in the field of machine learning, deep learning and computational biology, I am passionate about applying AI solutions to improve data quality and enable scientific discovery. As the Associate Director of R&D - Deep Learning/AI at Illumina, I lead a diverse and talented team of AI engineers who work on innovative AI projects for the genomics industry. In my current role, I provide technical leadership and guidance to my team, as well as collaborate with cross-functional stakeholders, to design and implement deep learning models and pipelines that enhance the accuracy, reliability, and efficiency of genomic data analysis.
Joint CMU - Pitt Program in Computational Biology, University of Pittsburgh
Doctor of Philosophy (PhD), Biomathematics, Bioinformatics, and Computational Biology
January 1, 2008 – January 1, 2013
Birla Institute of Technology and Science, Pilani
Bachelor of Engg, Computer Science
January 1, 2003 – January 1, 2008
Birla Institute of Technology and Science, Pilani
Master of Science (M.Sc.), Biology/Biological Sciences
January 1, 2003 – January 1, 2008
Freenome
Director, Machine Learning
September 1, 2023 – Present
San Francisco Bay Area
Illumina
Associate Director, R&D - Deep Learning/AI at Illumina
July 1, 2021 – August 1, 2023
Illumina
Principal Deep Learning/AI Engineer
April 1, 2021 – July 1, 2021
Illumina
Sr. Staff Software Engineer; Machine Learning/Deep Learning
June 1, 2019 – March 1, 2021
Illumina
Staff Software Engineer Machine Learning/Deep Learning
November 1, 2017 – June 1, 2019
Illumina
Sr. Software Engineer; Machine Learning/Deep Learning
August 1, 2016 – November 1, 2017
Agilent Technologies
Bioinformatician, R&D Software Engineer
September 1, 2013 – July 1, 2016
San Francisco Bay Area
Joint Carnegie Mellon - Univ. of Pittsburgh Program in Computational Biology
PHD Candidate
August 1, 2008 – September 1, 2013
Pittsburgh, PA
Infinera
Intern
January 1, 2008 – June 1, 2008
Bengaluru Area, India
Indian Institute of Science
Intern
May 1, 2006 – July 1, 2006
Bengaluru Area, India
Evol - A suite API features for analysis of sequence evolution
October 1, 2012 – Present
Evol is a suite of powerful and efficient API features and applications for analysis of sequence evolution and its comparison to protein functional dynamics.
ProDy - Python API for Protein Dynamics Analysis
October 1, 2010 – Present
Designed and developed Python API for protein structure and dynamics analysis. 38 releases and over 120,000 downloads in 3 years.
Cultural Fit Analysis
The candidate's extensive experience in the biotech and computational biology sectors (Illumina, Freenome, Agilent Technologies, PhD research) aligns well with organizations focused on scientific innovation and data-driven solutions. The development of open-source projects like ProDy and Evol suggests a collaborative and contribution-oriented mindset. The progression through various roles at Illumina indicates adaptability and growth within a large organization. The target role of ML Engineer is a direct match for their career trajectory and expertise.
Soft Skills & Operational Fit
The candidate's career progression from Staff Software Engineer to Director of Machine Learning at reputable companies like Illumina and Freenome suggests strong leadership, team management, and project execution skills. The description of leading an ML/AI research team and providing technical leadership indicates operational fit for senior roles requiring strategic thinking and team guidance. However, specific details on communication style, stress handling, or collaboration are not available from the provided data.