Receptor.AI is a next-generation TechBio company advancing a multiplatform ecosystem featuring advanced AI-powered platforms for small molecule and peptide design.
Receptor.AI is a pioneering TechBio company transforming drug discovery through a validated, AI-powered multiplatform ecosystem. We specialize in developing advanced platforms that address the most complex and previously "undruggable" targets with first-in-class therapeutic modalities, ensuring precision and innovation at every step.
We are committed to making early-stage drug discovery significantly faster and more cost-effective, empowering researchers to achieve breakthroughs with confidence. Our ecosystem drives innovations that directly impact healthcare by targeting diseases with high unmet needs. Working on diverse, high-impact drug discovery projects, we rigorously test and refine our platforms, ensuring we deliver state-of-the-art capabilities informed by unparalleled industry experience.
Receptor.AI is a team of seasoned scientists, engineers, and industry experts dedicated to revolutionizing drug discovery with combined expertise and shared vision. We are strongly confident that technological innovation in drug design will radically change our civilization in the near future.
Chief Executive Officer,
Co-founder
Ph.D. holder in Data Science with expertise in leading AI-driven drug discovery projects. He specializes in designing cloud systems for life sciences, particularly focusing on AI-powered workflows. With a strong background in B2B start-ups, he brings valuable experience to the intersection of data science and the life sciences industry.
Chief Technical Officer,
Co-founder
PhD in Molecular Biology with over 15 years of experience in drug discovery and scientific software development. Medicinal chemist, expert in development of machine-learning models, algorithms for pharmacophore modelling and molecular docking. Author of number of patented anticancer and anti-microbic biologically active compounds.
Chief Scientific Officer,
Co-founder
PhD, Dr.Sci. in biophysics. 20+ years of experience in molecular modelling, computational drug discovery and scientific software development. Author of unique techniques and algorithms in simulations of curved and asymmetric lipid membranes and assessment of drug-membrane interactions.
Head of Medicinal Chemistry
PhD in Chemistry with 25 years of research experience, a pivotal member of the Institute of Molecular Biology and Genetics of the National Academy of Sciences of Ukraine, currently serving as a Senior Research Scientist and Deputy Head of the Department of Medicinal Chemistry. Contributed to over 65 scientific publications, showcasing his extensive research in the field.
Head of Business Development
Ph.D. in Biochemistry and Molecular Biology with 15+ years of experience in biotech business development and venture capital. Co-founder of several oncology startups, successfully advancing two first-in-class programs from discovery to Phase II clinical trials. Co-author in 20+ peer-reviewed publications, and 2 patent applications.
Scientific Advisor: Drug Discovery
PhD in Biophysics & Biochemistry with 15+ years of R&D experience across Industry and Academia, spanning from experimental validation to leadership roles. Extensive expertise in developing and optimizing drug discovery platforms, with deep knowledge in hit discovery and lead optimization for small molecules, peptides, and oligonucleotides.
Scientific Advisor: Drug Discovery
Ph.D in Computational Sciences with 25+ years experience in the industry, including Pfizer and Biogen. Delivered 8 new chemical entities (NCEs) to the clinic/FIH assessment. Worked on over 60+ lead identification & optimization projects covering small molecules, peptides, ADCs, and degraders in a variety of indications.
Scientific Advisor: Pharmacology
PhD in Pharmacology with 20+ years of R&D experience in Biotech and Big Pharma. Specializes in oncology drug discovery, including targeted and immuno-oncology therapies. Proven leadership guiding teams from early discovery to IND submissions, contributing to approved drugs. Strong record in in vitro and in vivo study design and clinical-stage assay development.
Scientific Advisor: PPI Modulators
Renowned Rachal Professor of Chemistry at Texas A&M, who has made significant contributions to the fields of medicinal and combinatorial chemistry. He applies his expertise in peptido-mimetics, hybrid-peptides and PPI targeting.
Scientific Advisor: CADD
PhD in Molecular Biology with 20+ years in Industry and Academia, specializing in CADD, computational chemistry, and cheminformatics. Expert in protein structure analysis, drug mechanisms, and therapeutic design. Co-author of multiple scientific papers and patents.
Scientific Advisor: Membrane Biophysics
PhD, Professor of Physics with 20+ years of experience in quantum chemistry and computational drug design. An expert in simulating interactions of theragnostic nanoparticles with the cell membrane.
Scientific Advisor: Membrane Molecular Biology
PhD, Professor of Biochemistry and Molecular Biology at University of Texas Medical School with 30+ years of experience in experimental studies of lipid membranes and membrane proteins. An expert in design and assessment of membrane targeting compounds.
Scientific Advisor: Chemistry
PhD in Chemistry with 30+ years in medicinal and synthetic organic chemistry. Executive Director at OTAVA Ltd. with numerous patents and peer-reviewed publications. Combines expertise and leadership to tackle complex chemistry problems and lead innovative projects.
Scientific Advisor: CADD
PhD in Molecular Biology with 20+ years in Industry and Academia, specializing in CADD, computational chemistry, and cheminformatics. Expert in protein structure analysis, drug mechanisms, and therapeutic design. Co-author of multiple scientific papers and patents.
AI Drug Discovery
Project Manager
Lead AI Engineer
AI Engineer
Computational Chemistry
Scientist
Medicinal Chemist
AI Platform Developer
AI Solutions Developer
for Drug Discovery
AI Solutions Developer
for Drug Discovery
Drug Discovery
Platform Developer
Quality Assurance Engineer
AI Drug Discovery
Cloud Engineer
Research Scientist
Medicinal Chemist
Platform Operations Manager
Business Administration Manager
Platform Solutions Manager
BD Executive,
AI-Enabled Therapeutics
Marketing Operations
Specialist
TechBio Sales
Associate
Project Execution Manager