Ankit Gupta

CEO

Cambridge, Massachusetts, United States10 yrs 9 mos experience
Highly StableAI Enabled

Key Highlights

  • Co-founder of a successful biotech startup.
  • Expert in machine learning applications in healthcare.
  • Raised $31M for innovative cancer therapeutics.
Stackforce AI infers this person is a leader in biotech and AI-driven healthcare solutions.

Contact

Skills

Core Skills

Ai EngineeringBiological EngineeringMachine LearningDrug DiscoveryDeep LearningComputer VisionBiological ModelingData Analysis

Other Skills

AI modelsfoundation modelstherapeutic modalitiescloud infrastructureteam managementfundraisingroboticsgene regulatory networksgenomic data

About

I am a computer scientist and entrepreneur with 10 years of experience in machine learning and the life sciences. I was previously the co-founder and CTO of Reverie Labs, a small molecule therapeutics company that used machine learning to drive a pipeline of therapeutics in oncology. As a founder, I grew our company to a staff of 30, built a culture of technology and engineering that marries computer science with chemistry, and raised $31M from top investors to fund our internal therapeutics pipeline. Reverie Labs was sold to Ginkgo Bioworks in February 2024. I’ve built and managed a multidisciplinary team of engineers, scientists, and managers spanning machine learning, data science, backend and frontend engineering, cloud infrastructure, and cheminformatics. I have been hands-on in writing code (and then building teams to write code) for all of these disciplines. In an earlier life, I graduated from Harvard and studied computer science. For my thesis, I built machine learning models for DNA structure, and I was advised by Professor Alexander Rush of Harvard NLP and Dr. David Kelley of the Broad Institute of Harvard and MIT. I was deep (pun intended) into the deep learning world throughout my academic training, including being a head teaching fellow for multiple Harvard courses in machine learning. See my home page at http://ankitg.me!

Experience

10 yrs 9 mos
Total Experience
2 yrs 5 mos
Average Tenure
1 yr 4 mos
Current Experience

Y combinator

2 roles

General Partner

Promoted

Sep 2025Present · 7 mos · Cambridge, Massachusetts, United States

Visiting Partner

Dec 2024Sep 2025 · 9 mos · Cambridge, Massachusetts, United States

  • W25 and S25 batches

Ginkgo bioworks, inc.

Head of AI

Feb 2024Mar 2025 · 1 yr 1 mo · Boston, Massachusetts, United States

  • Via Ginkgo's acquisition of Reverie Labs.
  • Building the next generation of AI models to engineer biology. Focused on building and commercializing foundation models in multiple therapeutic modalities, including antibodies, enzymes, and mRNA.
AI modelsbiological engineeringfoundation modelstherapeutic modalitiesAI EngineeringBiological Engineering

Reverie labs

Co-Founder, CTO (acquired by Ginkgo)

Dec 2017Feb 2024 · 6 yrs 2 mos · Cambridge, Massachusetts

  • Acquired by Ginkgo Bioworks in February 2024.
  • Reverie Labs is engineering next-generation, brain-penetrant cancer therapies. We're a computationally driven company, leveraging machine learning and elastic cloud infrastructure to power our internal drug discovery programs. Our three internal programs target kinases, and our lead program is an CNS-penetrant selective CDK4/6 inhibitor that is in IND-enabling studies.
  • Backed by Y-Combinator (W18), First Round Capital, and other great investors, Reverie has raised $31M to power our internal ML-driven pipeline of cancer therapeutics.
  • As CTO and Co-Founder, I manage our machine learning, data science, software engineering (backend and frontend), and infra/devops teams, spanning the entire lifetime of the company. In addition, I work with our executive team on recruiting the best talent, selecting targets for our programs, executing business development transactions, and fundraising. Along with my cofounder, I was named in the Forbes 30 under 30 in 2023.
  • I have significant experience leading company strategy as a founder and board director, spanning oncology drug discovery, team growth and hiring, technology strategy and execution, fundraising, and goal setting.
machine learningcloud infrastructuredrug discoveryteam managementfundraisingMachine Learning+1

Vicarious ai

Researcher

Jul 2017Dec 2017 · 5 mos · San Francisco Bay Area

  • Deep Learning research on computer vision and robotics tasks.
deep learningcomputer visionroboticsDeep LearningComputer Vision

Harvard john a. paulson school of engineering and applied sciences

3 roles

Head Teaching Fellow, CS 181 (Machine Learning)

Promoted

Jan 2016Jan 2017 · 1 yr

Teaching Fellow, CS 182 (Artificial Intelligence)

Jan 2016Jan 2016 · 0 mo

Machine Learning Researcher

Jan 2015Jan 2017 · 2 yrs

  • Deep Learning Research in Harvard NLP Group, advised by Alexander Rush: http://nlp.seas.harvard.edu.
  • Focus on applying deep learning methods to complex biological modeling tasks, particularly studying gene regulatory networks using dilated convolutional neural networks and recurrent neural networks.
  • Paper and Talk presented at International Conference of Machine Learning (ICML) 2017, in Sydney, Australia.
  • Conference website: https://sites.google.com/view/compbioworkshopicml2017/accepted-abstracts?authuser=0
deep learningbiological modelinggene regulatory networksDeep LearningBiological Modeling

Palantir technologies

Software Engineering

Jan 2016Jan 2016 · 0 mo · New York, New York

Google

Software Engineering

Jan 2015Jan 2015 · 0 mo · Mountain View, California

Harvard medical school

Researcher

Jan 2014Jan 2014 · 0 mo · Boston, Massachusetts

  • Research Intern at the Center for Cancer Computation Biology at the Dana Farber Cancer Institute, and affiliated with the MIT Lincoln Laboratory. Working with data analysis tools to analyze genomic data.

Bridgewater associates

Technology Associate

Jan 2014Jan 2014 · 0 mo

data analysisgenomic dataData Analysis

Education

Harvard University

Bachelor of Arts (A.B.)

Harvard University

Master of Science (S.M.) — Computer Science

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