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Applied Research Manager - BioFoundation Models at NVIDIA
I am currently a Senior AI and Deep Learning Scientist in Life Sciences and the Tech Lead for Clara Discovery / BioNeMo at NVIDIA. I lead a growing team of researchers and engineers who use use data, deep learning, and HPC to develop tools that accelerate drug discovery. A recent focus is BioNeMo, which includes the development of large language models for small molecules (e.g. MegaMolBART) and protein sequences. Previously I was a Senior Machine Learning Engineer and Data Scientist at BenevolentAI and a member of Arthur Palmer's research group where I developed and applied nuclear magnetic resonance (NMR) spin relaxation experiments to understand how enzyme dynamics are critical to biological function. I have experience with deep learning, data analysis, visualization, and compressed sensing. I'm proficient in Python and familiar with C. My scientific expertise includes nuclear magnetic resonance (NMR) spectroscopy, protein and RNA expression and purification, and other biochemical and biophysical techniques. ### Background Overview ### • Tech Lead for Clara Discovery / BioNeMo and Senior AI and Deep Learning Scientist, NVIDIA • Senior Machine Learning Engineer, BenevolentAI • Senior Deep Learning Consultant, NVIDIA • Senior Data Scientist, Metis • Scientist, National Cancer Institute • Postdoctoral Research Fellow, Columbia University • Consultant at The Boston Consulting Group • Ph.D. Molecular Biophysics & Biochemistry, Yale University, New Haven, CT • M.Phil. Molecular Biophysics & Biochemistry, Yale University, New Haven, CT • B.S. with Highest Distinction and Honors in Biochemistry, University of Kansas, Lawrence, KS ### More Information ### • Curriculum Vitaé and Personal Website: https://michellelynngill.com • Resume: https://resume.michellelynngill.com • Presentations: https://michellelynngill.com/#presentations • Scientif
Yale University
PhD, Molecular Biophysics & Biochemistry
January 1, 2001 – January 1, 2006
The University of Kansas
Bachelor of Science, Biochemistry
January 1, 1997 – January 1, 2001
NVIDIA
Applied Research Manager, Bio-Foundation Models
November 1, 2023 – Present
NVIDIA
Manager, BioNemo Research and Development
November 1, 2022 – November 1, 2023
NVIDIA
Tech Lead, BioNemo
November 1, 2020 – November 1, 2023
NVIDIA
Senior Deep Learning Scientist, Cheminformatics and Proteomics
July 1, 2019 – November 1, 2023
BenevolentAI
Senior Machine Learning Engineer
January 1, 2019 – January 1, 2019
BenevolentAI
Senior Data Scientist
January 1, 2018 – January 1, 2019
NVIDIA
Senior Deep Learning Consultant – Professional Services
January 1, 2017 – January 1, 2018
New York City Metropolitan Area
The National Institutes of Health
Scientist
January 1, 2014 – January 1, 2016
National Cancer Institute
Columbia University in the City of New York
NIH Postdoctoral Research Fellow
January 1, 2008 – January 1, 2014
Columbia University Medical Center
Boston Consulting Group (BCG)
Consultant
January 1, 2006 – January 1, 2007
New York, NY
Deep Learning Specialization
Coursera Course Certificates
June 24, 2026 – Present
Sequence Models
Coursera Course Certificates
June 24, 2026 – Present
Convolutional Neural Networks
Coursera Course Certificates
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera Course Certificates
June 24, 2026 – Present
Improving Deep Neural Networks
Coursera Course Certificates
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera Course Certificates
June 24, 2026 – Present
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera Course Certificates
June 24, 2026 – Present
Mathematical Biostatistics Boot Camp 1
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning: Regression
Coursera Course Certificates
June 24, 2026 – Present
Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily focused on scientific research and deep learning in the biotechnology and pharmaceutical sectors. While this demonstrates a strong analytical and research-oriented mindset, the target role of 'Data Analyst' might be a step down in terms of technical depth and strategic impact compared to their recent managerial and research roles. The lack of diverse project experience outside of the bio/cheminformatics domain could indicate a narrower scope of application for data analysis skills. The extensive academic and research background suggests a preference for innovation and complex problem-solving, which may or may not align with typical data analyst responsibilities.
Soft Skills & Operational Fit
The candidate's career progression at NVIDIA from a Senior Deep Learning Scientist to an Applied Research Manager, along with managing a research group at NIH, indicates strong leadership, project management, and team collaboration skills. The consulting experience at BCG also suggests strong problem-solving and client-facing communication abilities. The detailed descriptions of research accomplishments and publications highlight a methodical and analytical approach to complex problems.