Where Science Meets Strategy
Expert consulting that bridges cutting-edge biotech research with business growth
About Me
I am an innovative drug hunter and key opinion leader in antibody-based drug discovery and development, with expertise in computational molecule design and biophysics. I have a proven success track record driving digital transformation, leading global teams, and forging lasting academic and industrial scientific partnerships.
My Services
I provide consulting and advice to my clients about topics related to Computational Biophysics. These topics include understanding protein structure–function relationships via molecular modeling and simulations, computational protein design and engineering, discovery and development of antibody-based biopharmaceuticals, developability studies, and AIML methods as they apply to drug discovery and development.
01. Discovery and development of antibody-based biotherapeutics
Antibody-based biotherapeutics are the most successful class of biopharmaceuticals. Since the invention of Hybridoma technology in 1975 and approval of a murine antibody, muromomab, for therapeutic purposes in 1986; use of antibodies and antibody-based therapeutics has evolved tremendously. Today these biologic therapeutics serve millions of patients suffering from a myriad of diseases ranging from allergies to cancer.
This is an area where I have extensive expertise that can be very useful to clients in biotech startups.
02. Computational Protein Design and Engineering
Computational protein design and engineering involves de novo creation of proteins with novel functions and or modifying the pre-existing ones to impart them with desirable functional and structural attributes. It has revolutionized biotechnology and found many industrial applications, ranging from novel de novo binders to different targets, drug discovery, and nano-materials.
I have been using computational protein design, particularly towards the discovery and development of therapeutic antibodies. I can advise clients on finding the right tools and strategies to find solutions to their problems.
03. AI/ML, Biophysics, and Molecular Design
Discovery and development of antibody-based biotherapeutics has been heavily driven by the experimental methods of trial, error, and standardization. However, there is tremendous potential to reduce empiricism and understand sequence-structural attributes that contribute towards discovery and development of these medicines. Over the past 20 years, I have been pioneering applications of computational methods including AI/ML, molecular modeling and simulations as well as data analysis. I have been among the pioneers behind the concept of developability and have also coined the term "Biopharmaceutical Informatics".
My ideas have potential to change the drug discovery paradigm. I am trying to found my own TechBio startup and am also happy to help others in the field.
04. Protein structure-function relationships
Protein structure prediction, homology-based modeling, multi-scale modeling, and molecular dynamics simulations play an important role in understanding protein structure-function relationships and therefore help inform engineering solutions to manipulate protein properties such as stability, activity, and aggregation. These studies find many industrial applications such as biocatalysts, nano-materials, and drug discovery.
My extensive research experience enables me to advise clients toward finding answers to their questions regarding bimolecular modeling and simulations.
Conserved heavy/light contacts and germline preferences revealed by a large-scale analysis of natively paired human antibody sequences and structural data.
Nature Communications Biology Jul 26, 2025
A Pharmacophore-Based Method for Rapid and Accurate Virtual Screening of Antibody Libraries against Antigens
Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
Chemical Reviews · Jun 6, 2025
