Deeptak Verma, PhD
Deeptak Verma, PhD
Protein engineer & vaccine designer
Contact: verma.deeptak@gmail.com
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Interests
Interests
Protein engineering and vaccine designing
Directed evolution
Sequence-structure-function relationships
Protein dynamics and thermodynamics
Biological data assessment & visualization
Machine learning / Artificial intelligence
Work Experience
Work Experience
Associate Principal Scientist - Merck (2022 - Present)
Senior Scientist - Merck (2017 - 2021)
Lecturer & Post-doctoral researcher - Dartmouth College (2013 - 2017)
Research Assistant - UNC Charlotte (2007 – 2012)
Education
Education
Postdoc. - Dept. of Computer Science, 2017, Dartmouth, NH
Research: Therapeutic protein engineering and design.
Ph.D. - Bioinformatics and Computational Biology, 2012, UNC Charlotte.
Dissertation: Elucidating the effects of mutation and evolutionary divergence upon protein structure quantitative stability/flexibility relationships using the Distance Constraint Model.
B. Tech. - Bioinformatics, 2007, Jaypee University of IT, Solan HP, India
Thesis: 3D-QSAR, molecular docking and drug designing studies of HIV-I non-nucleoside reverse transcriptase inhibitors.
Research overview:
Research overview:
Engineering enzymes for their use in process chemistry / drug manufacturing
Understanding protein sequence-structure-function relationships using bioinformatics techniques.
Designing proteins computationally for therapeutic applications.
Computationally optimizing protein combinatorial mutagenesis libraries for high-throughput screening.
Highly collaborative work experience with computational biologists and wet-lab researchers.
Teaching overview:
Teaching overview:
Introduction to Bioinformatics to a class of diverse students from different fields (pure sciences/computer science) and levels (undergraduate/graduate).
Mentoring students in their projects and research activities.
Copyright (c) 2023 - Deeptak Verma
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