Nico Adamo

Nico Adamo is a Computer Science student at Caltech specializing in Deep Learning and Computer Vision, currently conducting research in the Anandkumar Lab focusing on incorporating human brain feedback and memory mechanisms into convolutional encoder models.

With previous experience as a researcher at Wolfram, Nico has developed and deployed ML toolkits for autoregressive distribution learning, adversarial training, and example generation.

Nico's academic background includes work on Algebraic and Arithmetic Geometry, with publications on topics such as elliptic curves, Arekelov geometry, and the Langlands Program.

Passionate about AI ethics, machine creativity, and formalizing math and CS education, Nico also showcases interests in music as a classical and jazz pianist, composition, puzzle-solving, debate, code golf, French and Soviet film, underground hip-hop, and competitive speed-typing.

Seeking internship and research opportunities in machine learning for Summer 2022, Nico Adamo invites collaborations and connections in the field.