hi!

i'm arjun, a rising senior @ berkeley majoring in EECS + EMS & minoring in Politics, Philosophy and Law

i try to spend most of my day eating gummy bears and going on walks. in between this, you might find me trying to understand and model biological systems (namely: PLMs/GLM steering, DNA oragimi, DNA kinetics & thermodynamics, and the brain).

i'm also interested in hardware (mostly optimization algorithms in architecture and analog), probability theory (high-dimensional modelling and bayesian stats), LLMs in education, and spider webs.

outside of this you might find me:

• Cory 521 (99% probability)
• yelling @ 300wpm about geopolitics and losing national finals round(s) with PD@B
• teaching (either TAing 126/170 or volunteer tutoring for CSM)
• designing clothes and writing about music in GAG's fashion shows or magazines
• taking extremely overexposed film photos with Innod
• (unsuccessfully) avoiding the 9-5 by making fun things with my friends @ web7 and darwin

i also enjoy reading, making music, running, writing papers, and announcing how proud i am for all trivial things in my life.

Publications

• 
  SafeGenie: Erasing Dangerous Concepts from Biological Diffusion Models Oral
  Arjun Banerjee, Ethan Tam, Camille Dang, David Martinez
  Biosecurity Workshop, NeurIPS 2025
  [pdf:soon] [code]
• 
  Automated Neuron Labelling Enables Generative Steering and Interpretability in Protein Language Models Spotlight
  Arjun Banerjee, David Martinez, Camille Dang, Ethan Tam
  Generative AI for Biology Workshop, ICML 2025
  [pdf] [code]