About me

time and causality across the sciences book cover
why: a guide to finding and using causes book cover
causality, probability, and time cover

I'm the Farber Chair Professor in the Computer Science department at Stevens Institute of Technology.

After completing my PhD in Computer Science at NYU, I spent two years as a postdoctoral Computing Innovation Fellow at Columbia University, in the Department of Biomedical Informatics. Before that I was an undergraduate at NYU in Computer Science and Physics, and I spent a year on sabbatical in the psychology department of University College London.

I've written an academic book, Causality, Probability, and Time, and another for a wider audience, Why: A Guide To Finding and Using Causes. I'm the editor of Time and Causality Across the Sciences.


HAIL logo
Health and AI Lab website

We are primarily motivated by trying to improve human health, through the development of artificial intelligence methods. Most of these problems come back to the question of why things happen or how they change, so we focus on causal inference and time series data. We look at both clinical data as well as data generated outside of hospitals and aim to support both medical providers and patients in their decision making. Key application areas include stroke, diabetes, and nutrition.

Lab members

Aishat Toye (PhD student), Yiheng Shen (PhD student), Shreyoshi Ghosh (PhD student), Brayden Abo (Undergraduate student)

Our mascot is the Honey Badger, for obvious reasons.

Recent courses

Spring 2026 Health Informatics [CS-544]
Fall 2025 Causal Inference [CS-582]

Current Funding

NIH U54, John Templeton Foundation

samantha.kleinberg@stevens.edu
(email is my preferred contact method)

Current Openings

We're hiring postdocs and seeking undergrad and grad students. Join us!

News

  • March 2026 I was invited to participate in the Dagstuhl Seminar "AI x Philosophy: Bridging Minds and Machines"
  • February 2026 We found that nutrition research may be underpowered due to insufficient days of dietary data collection.
  • November 2025 Text messages linking physical activity to outcomes led to greater increases in activity compared to non-causal messages
  • September 2025 I received a $778k grant from the John Templeton Foundation on token causality.
  • September 2024 I was promoted to Full Professor!
  • August 2024 New paper on how physicians judge patients based on their beliefs. More coverage in Medical Economics and full paper.

    Undark Op-ed on why we should not ask AI to make life or death decisions.
  • January 2024 STAT Op-ed on our obsession with health and fitness tracking and why it may be time for a data diet.