Dr. Sandeep Kumar Email & Phone Number

Bridgewater, Ma, Us

Boston, Ma, Us

Cambridge, Massachusetts, Us

• Building Computational Molecule (DNA, RNA and Protein) Design and Modeling group. Leading a team of 13 highly talented scientists. Initial focus areas of the group include protein (antibodies, enzymes, vaccine) design and engineering, in silico discovery of antibodies and TCRs, mRNA design and Prime editing. Other responsibilities remain the same as below. • Advocating for Digital transformation of biotherapeutic lab practices and workflows.• Successfully led a team to generate de novo antibodies with desirable developability profile and tested them via experimental protein production and analytical characterization, using the philosophy of Turing imitation game. The AI-generated antibodies show experimental developability attributes similar to those of the antibodies currently in the market and NIST reference mAb. • This paradigm shifting technology can potentially expand the antigen space druggable by the antibody-based modalities in addition to improving the productivity of biotherapeutics drug discovery and development cycles.

Ingelheim Am Rhein, Rhineland-Palatinate, De

In addition to the activities in the previous role, I am now involved in leading BI's postdoctoral program at Ridgefield. I am also leading digital transformation of Biotherapeutics Discovery, and scientific as well as leadership aspects of in silico Ab discovery.

Ingelheim Am Rhein, Rhineland-Palatinate, De

Built a group called Computational Biochemistry and Bioinformatics (CBB) from scratch: CBB is supporting all aspects of biologic drug discovery, design and optimization and is collaborating closely with our colleagues in early stage drug development. These include antigen optimization, recovery of antibody variable genes via Sanger and Next Generation Sequencing, epitope / paratope mapping, design of antibody libraries, antibody humanization and affinity maturation, lead candidate optimization for appropriate potency as well as developability. CBB also supports structural modeling and design of novel multi-specific biologic modalities, computational prediction of immune epitopes, statistical data analyses including machine learning and artificial Intelligence. Leading Digital transformation of Biotherapeutics Discovery: I am currently formulating digital strategy my department and have led development of prototype version of Developability Navigator, a computational tool to guide selection and rational optimization of biologic drug candidates starting with antibody hit selection to lead identification, optimization, and recommendation of final candidate(s) for development. Co-leader of cross-functional in silico team that consists of colleagues from biotherapeutics discovery and development. Member of Research Informatics Council: This is a global governing body that prioritizes the budgetary funding for Information Technology Department of Boehringer Ingelheim. Currently job shadowing for Coordinator for Boehringer Ingelheim’s global postdoc Program; will take charge in Summer 2022.Academic Collaborators: Prof. Peter M. Tessier (Univ. of Michigan), Prof. Michael M. Gromiha (IIT-Madras), Prof. Charlotte M. Deane (Univ. of Oxford), Prof. Bernhardt Trout (MIT) and Dr. Janice Reichert (Antibody society, mAbs).Contributed towards discovery and optimization of several biologic drug candidates currently in Clinic.

New York, New York, Us

Head of Molecular Modeling, Simulations & Data Analyses Center of Emphasis within Formulation Process Development (FPD) groupWhile at Pfizer, I Led computational efforts towards modeling and design of bio- therapeutics in Biotherapeutics Pharmaceutical Sciences R & D. Structure based biologic drug design. Antibody engineering. Fundamental biophysics oriented computational research in biologic drug product degradations including aggregation. Homology model building of full length mAbs and antibody based therapeutics, fusion proteins, antibody drug conjugates and novel entities. Modeling, simulations and aggregation prediction directed at improving solubility at high concentrations, cell line expression and manufacture-ability of bio-therapeutics. High performance computing (HPC). Studying couplings among structure -- function, aggregation and immunogenicity in biotherapeutics. Antibody and protein structure-function relationships. Supporting computational aspects of biotherapeutics and vaccine formulation projects. Collaborating with early discovery scientists to help bring forward more candidates with improved manufacturability. High performance computing for biotherapeutics research. Helping development of data storage solutions for biotherapeutics. Forging Academic and Industrial collaborations. Mentor Postdoctoral fellows and scientists.External publications since joining Pfizer: 40. External invited talks: ~30. External symposium poster presentations: 10.

New York, New York, Us

Started and lead computational efforts towards modeling and design of bio- therapeutics in Biotherapeutics Pharmaceutical Sciences R & D. Structure based biologic drug design. Antibody engineering. Carried out fundamental biophysics oriented computational research in biologic drug product degradations including aggregation. Homology model building of full length mAbs and antibody based therapeutics, fusion proteins, antibody drug conjugates and novel entities. Modeling, simulations and aggregation prediction directed at improving solubility at high concentrations, cell line expression and manufacture-ability of bio-therapeutics. High performance computing (HPC). Studying couplings among structure -- function, aggregation and immunogenicity in biotherapeutics. Antibody and protein structure-function relationships. Provided computational support for biotherapeutics and vaccine formulation projects in development stages. Collaborated with early discovery scientists to help bring forward more candidates with improved manufacturability. High performance computing for biotherapeutics research. Forged Academic and Industrial collaborations. Mentor Postdoctoral fellows and scientists.

Baltimore, Md, Us

My work involved structure based small molecule drug design. I used Fragment based lead generation for discovery of highly potent and selective small molecule therapeutics for several target serine proteinases and receptors involved in Cardiovascular diseases, such as diabetes, cancer and antibiotic resistance. I also performed fundamental research in protein structure—function and published 2 research articles.

Kanpur, Up, In

Acted as Group leader and as an administrator.Advised two graduate students.Conducted research in protein structure—function. Taught a shared course in bioinformatics and computational biology at graduate level. Submitted several grant applications and obtained funding.Published scientific papers.

Washington, Dc, Us

Developed standard operating rule-based procedures for annotation (curation) and propagation functional information in PIRSF and UniProt Protein sequence families, Conducted research in protein sequence—structure—function relationships and published scientific papers. Advised one graduate student.

Bethesda, Md, Us

Advisor: Prof. Ruth NussinovFundamental computational biophysics and bioinformatics research was carried out in several aspects of protein sequence - structure - function relationships including protein electrostatics, protein folding and binding, thermo stability, molecular recognition, and molecular evolution.Published 30 research papers, review articles and book chaptersAdvised a graduate student. Presented the research work in scientific meetings and conferences.

Advisor: Prof. Ruth NussinovFundamental computational biophysics and bioinformatics research was carried out in several aspects of protein Sequence-structure-function relationships including protein electrostatics, protein folding and binding, thermo stability, molecular recognition, and molecular evolution. This position was co-joined with my NCI-Frederick Postdoc. I worked in the same research group.

Diploma, Exposure: Global Leadership

Ph.D., Computational Molecular Biophysics; Bioinformatics; Protein Structure-Function

M. Sc., Molecular Biology And Biotechnology

B. Sc. (Hons.), Physics