Lei Shi
Computational Protein Design, Enzyme Engineer, Biochemist, Protein Scientist, Directed Evolution
- Role
- Director of Protein Engineering at Sethera Therapeutics
- Location
- San Diego, CA, US
- LinkedIn followers
- 500 followers
About Lei Shi
Experienced scientist with a demonstrated expertise in protein engineering and its application in Biotechnology. Strong research professional skilled in computational protein design, experimental protein biochemistry, molecular biology, and bioinformatics. Trained with Nobel Laureate David Baker in protein design and has greater than 10 years of experience working with both large and small companies.Providing consulting/hands-on service to all processes of protein engineering life cycle: why-how-what1. Why: define protein engineering project goals2. How: map out approaches and workflows for protein engineering3. What: help implement or consult on technical implementation (1). Sequence analysis, structural modeling and simulation on AWS with Rosetta and other deep learning tools (RFDiffusion, LigandMPNN)(2). Assay development (binding assay like BLI, HTRF, enzymatic assay i.e. fluorescence, kinetics )(3). Molecular biology (cloning, library construction >10^8)(4). Protein expression and purification (cell line selection: i.e. bacteria, yeast or mammalian)(5). Screening (high throughput assay design i.e. fluorescence, kinetics, binding like assay BLI, HTRF, directed evolution set up, i.e.phage display, yeast display)(6). Data analysis (general data visualization, machine learning. More specialized i.e. mass spec, NGS)
Experience
Director of Protein Engineering
Jan 2025 — Present · Salt Lake City, UT, US
Education
University of Minnesota
Ph.D., Computational Chemistry
2005 — 2011
University of Minnesota
MS, Computer Science
2010 — 2011
University of Science and Technology of China
BS, Chemical Physics
2001 — 2005
Skills
- Bioinformatics
- Biotechnology
- Drug Design
- R
- Machine Learning
- Molecular Biology
- Matlab
- Latex
- Statistics
- Algorithms
- Data Mining
- Mathematical Modeling
- Biochemistry
- Python
- Computational Biology
- Fortran
- Microscopy
- Science
- Hplc
- Mathematica
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