R&D
Identify the best targets, molecules, dosing strategies, trials and patient populations.
About Differentia
We believe critical life science decisions should be simulated before they are committed to the real world.
Drug development requires a series of high-stakes decisions—what to develop, how to develop it, where to invest, and ultimately how to treat each patient. Today, many of these decisions are still made through sequential experimentation, with increasing costs, time and uncertainty.
Our thesis is simple: Simulate first. Then test in the real world.
Differentia is building the decision intelligence infrastructure for life sciences—combining AI with mechanistic modeling to turn complex biological questions into testable virtual experiments.
One scientific foundation. Three decision domains.
Capital
Connect scientific evidence to asset prioritization, portfolio strategy, investment, licensing and M&A decisions.
Clinical
Over time, extend mechanistic digital twins toward precision medicine and individualized treatment decisions.
As evidence accumulates across the lifecycle of an asset, the same underlying intelligence can inform more decisions—creating compounding value from R&D to capital to clinical care.
- AI-Powered
- Mechanistic
- Validated
- Regulatory-Ready
Why Differentia
Mechanistic intelligence for decisions that matter.
Human Mechanistic Digital Twins
Model the biology that matters.
Integrate multi-omics data into disease biology, drug action and patient response.
Not just prediction. Testable biological hypotheses.
Decision-Ready AI
Accelerate science without hiding the logic.
AI orchestrates virtual experiments to test scenarios and answer “what if?”
Virtual Experiments · Scenario Simulation
Regulatory-Ready by Experience
Built by Industry and Scientific Leaders
Decades of expertise spanning global pharma, clinical development, biosimulation modeling and regulatory science.
Scientific rigor. FDA/EMA Aligned - Submission-ready evidence.Human Mechanistic Digital Twins
Model the biology that matters.
Integrate multi-omics data into disease biology, drug action and patient response.
Not just prediction. Testable biological hypotheses.
Decision-Ready AI
Accelerate science without hiding the logic.
AI orchestrates virtual experiments to test scenarios and answer “what if?”
Virtual Experiments · Scenario Simulation
Regulatory-Ready by Experience
Built by Industry and Scientific Leaders
Decades of expertise spanning global pharma, clinical development, biosimulation modeling and regulatory science.
Scientific rigor. FDA/EMA Aligned - Submission-ready evidence.
- 2023
- Founded
- 200+
- Team project experience
- 7,000+
- Publication citations
- Global
- Pharma - Biotech - CROs - Capital
Leadership
Industry & Scientific Leaders
Kas Subramanian
CEO
Kas, PhD, has more than 25 years of experience in applying modeling to drug discovery and development across a broad range of therapeutic areas and treatment modalities. Kas has ov...
Atefeh Kazeroonian
MECHANISTIC MODELING VP
Atefeh Kazeroonian, PhD, has over 10 years of experience in computational modeling and AI, with a focus on immunology. She successfully led international projects in Computational...
Catherine Sherwin
CHIEF REGULATORY & CLINICAL PHARMACOLOGY OFFICER
18+ years' experience in clinical pharmacology, toxicology, pharmacometrics, and clinical trials. 15 years of experience consulting in clinical pharmacology & modeling/simulation....
Dariush Mohammadyani
VP COMMERCIAL
Dariush Mohammadyani, PhD, has over 15 years of experience in computational modeling for drug R&D. He previously served in business development leadership roles at Certara and Appl...
Rajeev Kumar
MECHANISTIC MODELING SENIOR DIRECTOR
17+ years of industry experience in mechanistic modelling supporting drug discovery and development programs and drug-induced toxicity. Led the development of a precision-based pre...
Simon Junankar
SCIENTIFIC AFFAIRS DIRECTOR
Simon Junankar, PhD, has over 20 years of research experience in oncology and immuno-oncology. His research has made important discoveries in cancer biology, cancer inflammation, c...