Research scientist · Builder · Tinkerer

Vinay UdayPrabhu.

Machine learning, from first principles
to the physical world.

I work across machine learning, information theory, and scientific discovery. Currently, I’m building Venomics AI, exploring venom-derived molecules as a starting point for new therapeutics.

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Interactive journey

Take a fun adventurous journey to see a venom evolve into a drug

01Lines of inquiry

Explore the research

Learning & inference

Graph structure, statistical physics, information theory, and the geometry of learning.

Doctoral research

Auditing AI

Adversarial robustness, dataset bias, and the gap between benchmark performance and the world.

Safety, ethics & alignment

Science you can build

Venom-derived therapeutics, frugal XR hardware, and embodied educational avatars.

Projects & experiments

02Selected research

Browse all entries

Datasets & ethics

Large image datasets: A pyrrhic win for computer vision?

Language models

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Model auditing

Auditing saliency cropping algorithms

Doctoral thesis · 2015

Network Aided Classification and Detection of Data

Carnegie Mellon University. Graph structure as a prior for classification and detection.

03A brief trajectory

I began my research career at IIT Madras, working on wireless communication, sparse channel estimation, and time-of-arrival estimation. My doctoral research at Carnegie Mellon University brought together spectral graph theory, statistical physics, network science, and information theory.

After work on medical time series and drug interactions, I became the first employee and Chief Scientist at UnifyID AI Labs. We studied human kinematics through motion-sensor data and ran five AI fellowship cohorts between 2016 and 2021.

At HAL51, which I co-founded with Sanghyun Han, I built frugal XR hardware and explored the practical problems of putting AI avatars in classrooms. These days, my attention is on biology.