
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 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.
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.
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.
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
softwareAI 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.
PandaOmics Box
softwarePackaged 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.
Nach01
otherAI-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.
Generative Biologics
softwareAI 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.
PreciousGPT
softwareAI 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.
Science42: DORA
modelLarge 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.
PandaOmics
softwareAI-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.
Chemistry42
softwareGenerative 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.
Pharma.AI
FlagshipplatformEnd-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.
Customer Success Stories
10 of top 20 global pharmaceutical companies
pharma
Collaboration on AI-driven drug discovery using Pharma.AI platform
Hiring Activity
View Open Roles →Product & Market
Product Stage
enterprisePrimary Market
pharmaCompany Details
- Founded
- 2014
- Headquarters
- Hong Kong, China
- Employees
- 285
- Stage
- growth
- Profile last updated
- June 22, 2026
Official Sources
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View Profile →Latest Updates
New Milestone in AI Drug Discovery: First Generative AI Drug Begins Phase II Trials with Patients
Insilico Medicine is Using Generative AI to Design New Drugs for Rare Diseases

Teaching AI the Language of Molecules: How MMAI Gym and Liquid Intelligence are Solving the “Brute Force” Crisis in Drug Discovery

Science42: DORA.Introducing the Draft Outline Research Assistant workflow
End-to-End AI-Driven Design of a First-in-Class PKMYT1 PROTAC Using Chemistry42
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