I’m a PhD student in Human-Inspired Artificial Intelligence at the University of Cambridge under Professor Ramit Debnath. I am based at the Centre for Human-Inspired Artificial Intelligence (CHIA) and also part of the Collective Intelligence & Design Group (CamCID).

I was previously an analyst at Morgan Stanley and early-stage VC investor at PJC focusing on AI. Representative investments I worked on include Synthesis AI, Root AI, Neurable, among others. I’ve also worked on research projects at Princeton University, Brown Physics, Brown Chemistry, Sloan Kettering, among other institutions.

My research integrates insights from human-centric and systems-based fields including economics (human behavior) and neuroscience (human intelligence) into AI design, to build and develop AI that is aligned to humanity and geared towards global good, with a particular focus on climate change mitigation as a goal.

I’ve most recently worked on multi-agent RL, belief systems in AI, and data-efficient learning, and have also worked on AI alignment, mechanism design for markets with asymmetric information, and stochastic processes in condensed matter physics.

I am also working on an applied ML project focusing on transformer-based topic modeling with Professor Sriya Iyer and Professor Debnath supported by the Keynes Fund. I am also involved in an agent benchmarking and model pruning project focusing on robustness, led by Dr. Shakhlo Nematova.

My research has been supported by the Moore Foundation, DARPA, Siemens Foundation, Intel Foundation, Society for Science, among others.

Please reach out if you’d like to collaborate!