Breaking
Insilico Medicine

Insilico Medicine

Generative AI & Healthcare Infrastructure

Insilico Medicine is a clinical-stage biotech company leveraging generative AI to transform drug discovery and development for extending healthy longevity.

About Insilico Medicine

Insilico Medicine is an end-to-end, clinical-stage AI-driven drug discovery company that uses generative AI and reinforcement learning to design novel drug candidates.

Leadership Team

Key executives and founders sourced from public LinkedIn profiles.

Feng Ren

Feng Ren

co-CEO, CSO, Head of Drug R&D

Feng got his bachelor’s degree in USTC (University of Science and Technology of China) in 1998. After 2 years of graduate research (M.Sc) in National University of Singapore, he went to Harvard University to pursue his Ph.D degree in the Department of Chemistry and Chemical Biology. He completed the syntheses of two natural products including Terpestacin (an anti-HIV agent) and Kedarcidin Chromophore (an anti-tumor antibiotics). After got his Ph.D, he joined the pharmaceutical company GlaxoSmithKline in CVU CEDD (Cardiovascular & Urogenital Center of Excellence in Drug Discovery) in Philadelphia in 2007 where he involved in the discovery of small molecule drugs for cardiovascular diseases. One year later, in 2008, he transferred to the GSK R&D center in Shanghai. He, as the lab manager, helped the chemistry head to set up and maintain a fully functional chemistry lab. He eventually took team leader/chemistry leader/program leader roles in the discovery of small molecule drugs for neurodegenerative diseases and neuroinflammation diseases. He managed a group of 5 internal chemists and 3 groups of 12+ chemists in CROs plus two CRO integrated service team (6 chemists each team). He had successfully delivered a Phase II compound, a small molecule candidate towards FTIH (in Preclinical Development), a small molecule in commit-to-preclinical development stage, and several chemical series with in vivo efficacy for lead optimization. He is currently the program leader to lead the matrix team consisting of chemistry, biology, DMPK, safety, CMC, Fragment-Based Drug Discovery (FBDD), and Encoded Library Technology (ELT) teams for the discovery of small molecules for the treatment of neuroinflammation diseases. He has been promoted twice (from senior scientist to principle scientist in 2009 and to associate director in 2012) during the 8 years of research career in GlaxoSmithKline.

Stephanie Tsang

Stephanie Tsang

Senior EA to Co-CEO & President | Head of Operations, Office of Alex Zhavoronkov, PhD (Co-CEO)

Financial Translator MA in Translation in CUHK

JR

Jacki Russell

Founder of Anti-Ageing & Wellness

Through my professional experience, I have gained a deep understanding of the core of marketing and have developed my own business philosophy. I believe that what really matters in the market is the customer and their needs, not the product itself, and that we must put the customer's needs first. On the road ahead, I will continue to deepen my knowledge base and strive to provide better services to our customers.

Carol Ann Satler, MD, PhD, FACC, FAHA, FAAP

Carol Ann Satler, MD, PhD, FACC, FAHA, FAAP

Vice President Clinical Development

I am a physician executive and biopharmaceutical leader with over 20 years of experience…

Luoheng Qin

Luoheng Qin

Vice President of Chemistry

Luoheng is a Vice President of Chemistry of InSilico Medicine. He is currently working on small molecule discovery projects and AI drug discovery, leading multiple internal Medicinal Chemistry PLs and external chemists, as well as the cyclic peptide platform of InSilico Medicine. Prior to the current position, he had been a supervisor/project leader/core team member in 20+ endocrine/oncology/immunology/CNS projects in T2L/LO/LLO/IND enabling stages, with 3 of them successfully advanced to Phase 1 clinical trials (USP1 inhibitor XL309/ISM3091 in US, QPCTL inhibitor ISM8207/FH2201 in China, and KAT6 inhibitor MEN2312/ISM5043 in US), 1 achieved FDA IND clearance (ENPP1 inhibitor ISM5939) and 5 other projects successfully delivered clinical candidates. In Q3 2023, the USP1 inhibitor XL309/ISM3091 was licensed out to Exelixis, with an upfront payment to InSilico of $80 million. In Q1 2024, the KAT6 inhibitor MEN2312/ISM5043 was licensed out to Menarini. Luoheng has been awarded the title of "Mingzhu Elite Talent" under the "Mingzhu Program" in Shanghai Pudong New Area for the year 2023 Luoheng was a volunteer for American Chemical Society Shanghai Chapter. He served as the secretary of the chapter in 2015 - 2017.

Halle Zhang

Halle Zhang

Vice President, Clinical Development - Oncology

Leah Liu

Leah Liu

Global Head of Capital Markets, VP

谢亦谦

谢亦谦

BD associate director

Mission & Approach

Mission

Our mission is to extend healthy productive longevity for everyone by transforming drug discovery and development with generative artificial intelligence, significantly reducing the time and cost to bring life-saving medications to patients.

AI Approach

Generative AI, Large Language Models (LLLMs), machine learning for protein folding, target discovery, molecular design

Founding Story

Founded in 2014 by Alex Zhavoronkov, PhD, who has a combined background in biomedicine and computer technology. Dr. Zhavoronkov pioneered the application of Generative Adversarial Networks (GANs) and Reinforcement Learning (RL) to drug discovery in 2016, discovering novel targets and generating novel molecules with desired properties.

Products & Solutions

inClinico

software

AI platform for clinical trial outcome prediction

inClinico is an AI-powered platform that predicts clinical trial outcomes, helping pharmaceutical companies optimize clinical development strategies and improve success rates in drug development.

Deploy: cloud saasPricing: enterprise

PandaOmics Box

software

Packaged version of PandaOmics target discovery platform

PandaOmics Box is a packaged deployment option of the PandaOmics platform for target discovery and disease modeling, likely designed for on-premise or dedicated cloud deployment.

Deploy: on premisePricing: enterprise

Nach01

other

AI-discovered therapeutic program

Nach01 is a therapeutic program discovered using Insilico Medicine's AI platform, representing one of the company's internal drug development candidates.

Deploy: otherPricing: undisclosed

Generative Biologics

software

AI platform for biologics and antibody design

Generative Biologics is an AI-powered platform for designing and optimizing biological therapeutics including antibodies and other protein-based drugs. It applies generative AI techniques to biologics discovery and development.

Deploy: cloud saasPricing: enterprise

PreciousGPT

software

AI assistant for drug discovery and scientific research

PreciousGPT is an AI-powered assistant tool designed to support drug discovery workflows and scientific research tasks within the Insilico Medicine platform ecosystem.

Deploy: cloud saasPricing: undisclosed

Science42: DORA

model

Large Language of Life Models (LLLMs) for scientific research

Science42: DORA is a Large Language of Life Models platform with an LLM Assistant designed for scientific research and drug discovery applications. It leverages large language models trained on biological and chemical data.

Deploy: api onlyPricing: enterprise

PandaOmics

software

AI-powered target discovery and disease modeling platform

PandaOmics is a target discovery platform that uses AI to analyze multi-omics data for drug discovery and drug repurposing. It enables disease modeling and identification of novel therapeutic targets by processing large amounts of biological data.

Deploy: cloud saasPricing: enterprise

Chemistry42

software

Generative AI platform for small molecule drug design

Chemistry42 is a generative chemistry platform that uses GANs and reinforcement learning to generate novel small molecules with desired properties. It accelerates the hit-to-lead and lead optimization phases of drug discovery by designing molecules that meet specific therapeutic requirements.

Deploy: cloud saasPricing: enterprise

Pharma.AI

Flagshipplatform

End-to-end generative AI platform for drug discovery and development

Pharma.AI is Insilico Medicine's proprietary generative AI-driven platform that accelerates drug discovery and development across biology, chemistry, and clinical development. The platform enables rapid and efficient advancement of novel drug candidates through AI-powered target identification, molecule generation, and clinical trial optimization.

Deploy: cloud saasPricing: enterprise

Customer Success Stories

10 of top 20 global pharmaceutical companies

pharma

Collaboration on AI-driven drug discovery using Pharma.AI platform

Established collaborations with 10 of the top 20 global pharmaceutical companies by 2021 sales
Read case study →

Hiring Activity

View Open Roles →

Product & Market

Product Stage

enterprise

Primary Market

pharma

Company Details

Founded
2014
Headquarters
Hong Kong, China
Employees
285
Stage
growth
Profile last updated
June 22, 2026

Work here?

Claim this listing to update company information and connect with our audience.

Claim This Listing

Data Accuracy Notice: Company information on HealthAI Central is compiled from public sources and updated regularly. While we strive for accuracy, details such as employee counts and product offerings may change. We recommend verifying critical information directly with the company before making business decisions.