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Adam Li, PhD

Pronouns: he/him

Employment

2022-Present

Executive Summary

At the Causal AI Lab, I am a Computing Innovation Research Fellow funded by the NSF. I am working at the intersection of neuroscience and causal inference.

My causal inference research interests are in structure learning and causal estimation in equivalence classes and their relations to neuroscience.

2015-2022

Executive Summary

At Johns Hopkins University, I was a NSF Graduate Research Fellow, Whitaker Fellow, Chateaubriand Fellow and ARCS Chapter Scholar. My research interests were in computational neuroscience, epilepsy, statistical machine learning, dynamical systems and control theory.

Skills

  • Python Expert
  • MATLAB Expert
  • Cython and C++ Proficient
  • R Beginner

Open-Source Summary

I am a core-contributor to MNE-Python, MNE-BIDS, MNE-Connectivity and contributed to other packages, such as scikit-learn, pyDMD, TVB.

Metrics

Adam Li's Projects

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

adam2392.github.io icon adam2392.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adamli icon adamli

Adam Li's website. 1st time programming in HTML/CSS/JavaScript

autoreject icon autoreject

Automated rejection and repair of bad trials/sensors in M/EEG

awssite icon awssite

A boilerplate for launching Django onto AWS

blackjack_kpcb icon blackjack_kpcb

A blackjack implementation using Python for the KPCB Engineering Fellow Challenge.

bnlearn icon bnlearn

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

cse_classes icon cse_classes

Machine Learning class at UCSD for CSE 150. Utilize Matlab and maybe Python for implementation of learning algorithms.

cython icon cython

The most widely used Python to C compiler

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