Hi, I am Gili

Hi, I am Gili

I am on my way to being a scientist.


I am fascinated by the human mind. I am especially interested in understanding the computational basis of human intelligence, focusing on learning, inference, and curiosity.

I am a Ph.D student at the Princeton Neuroscience Institute.

I am a member of the Niv lab at Princeton. I also work with Nathaniel Daw. Previously, I collaborated with the Neural Information Processing Group in TU-Berlin.

Besides research, I enjoy crime fiction, good food, and adventure sports.

Interests

  • Computational Cognitive Neuroscience
  • Reinforcement Learning & Inference
  • Computational Psychiatry

Education

  • PhD in Neuroscience, 2021 -

    Princeton University

  • BSc in Data Science & Statistics and Cognitive Science, 2016- 2020

    Minerva Schools at KGI

Projects

and some things I have been working on

Classifying ADHD from Healthy Controls using LSTMs with rs-fMRI Data

From extracting resting-state networks to calculating the classification significance

Curiosity-Driven Learning with OpenAI and Keras

A guide for building an ICM agent using Keras and OpenAI Gym.

Deep RL Debugging and Diagnostics

Taking a stab at the fine art of parameter tuning

Identifying Resting-State Networks from fMRI Data Using ICAs

From data collection to feature extraction

nivlab.github.io

Niv lab’s hub that links together all of the technical resources developed for and by members of the lab.

Policy Gradient Reinforcement Learning with Keras

A step by step approach to understanding REINFORCE

Simulating Biological Neural Networks with NetPyNE

Exploring the effect of neuromodulation on oscillatory patterns

What Can Schizophrenia Tell Us About How the Brain Predicts the Future?

Modeling Complex Systems — The Case of Abnormal Predictive Coding

Recent Publications & Presentations

Initiatives I appreciate

Great things are happening, check these out

Stay in touch

gili (at) princeton.edu