Praveen Venkatesh
Research Scientist at Upstart
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolPraveen Venkatesh is a research scientist with 14 years of experience at the intersection of neuroscience, information theory, and machine learning, currently driving research at Upstart after a productive stint at the Allen Institute and Carnegie Mellon. He develops theoretically grounded metrics and fast estimators to reveal how information and noise shape computation in biological and artificial neural networks, with work featured as a NeurIPS Spotlight and in IEEE Transactions. Praveen has translated neuroscience insights into practical ML interventions—e.g., injecting structured noise to improve few-shot generalization in CNNs—and has collaborated closely with experimentalists to validate theories on high-dimensional spiking data. His background spans building novel EEG hardware and biomarkers for clinical outcomes to defining measures of fairness and unique information in AI, demonstrating a rare ability to move ideas from theory through implementation to real-world validation. Notably, he achieves large computational speed-ups (1000×) on high-dimensional estimators, enabling analyses at scales previously infeasible.
14 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology MadrasDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Carnegie Mellon University
Github Skills (26)
gtk8
qt8
matplotlib7
jekyll7
dynamic7
python7
data-visualization6
mersenne-twister6
visualization6
prng6
data-science6
pagination5
stream5
des4
aes4
Programming languages (4)
Github contributions (5)
praveenv253/carnatic-notation
Oct 2018 - Sep 2023
Contributions:13 pushes, 1 branch, 1 comment in 4 years 11 months
praveenv253/tests
Mar 2015 - Sep 2023
Contributions:35 pushes in 8 years 7 months
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