Mark Sherman
Advancing computationally-aided high throughput screening processes to transform medicine
- Role
- Associate Director at Ginkgo Bioworks
- Location
- Cambridge, MA, US
- LinkedIn followers
- 500 followers
About Mark Sherman
My current research interests include using bioinformatic and computational biological approaches to screen for novel discoveries such as therapeutic small molecule compounds, RNA, or proteins. I thrive on the pursuit of creative and innovative approaches toward novel drug discoveries and seek opportunities to lead a team (as a Senior/Principal scientist) to explore the unknown and improve patient lives. I am interested in building skill sets in bioinformatics, protein engineering, machine learning, RNA biology, and biochemistry. I bring an innovative mindset to solve complex challenges drawing from over 20 years of experience in the diverse research fields such as- bioinformatics - biochemistry - microbiology - cellular biology - population genetics - marine biologyFurthermore, over 3 years as a college-level lead instructor in Biology has provided me with management, presentation, and communication skillsets that facilitate collaboration and team-building in the workplace.
Experience
Associate Director
May 2023 — Present · Boston, MA, US
Designed platform architecture and coordinated experimental approaches across functions (DNA synthesis, strain evolution, protein purification, HTS, NGS, etc.) toward discovery of novel RNA parts for gene therapy- Designed libraries of protein variants for enhanced virus-like particle production toward large-scale vaccine development- Utilized modern computational tools (Snakemake, Jupyter, AWS, GitLab, Docker, NextFlow, etc.) to mine and incorporate candidate genetic sequences for biochemical- and cell-based screens- Orchestrated interdisciplinary team of computational biologists and experimentalists to design, execute, and analyze multi-omics experiments aimed at detection of candidate genomic variants affecting engineered strain phenotypes- Generated over DNA construct designs aimed at identification of candidate catalytic RNAs/translation regulators - Built self-service computational pipelines to operationalize design and/or analysis of constructs for high-throughput characterization
Education
Cockrell School of Engineering, The University of Texas at Austin
Doctor of Philosophy - PhD Candidate, Cell/Cellular and Molecular Biology
University of North Carolina Wilmington
MS, Marine Biology w/ focus on genetics
2007 — 2010
The University of Texas at Austin
Doctor of Philosophy (Ph.D.), Cell/Cellular and Molecular Biology
2015
University of Maryland
BS, Marine Biology
2001 — 2005
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