PhD student at University of Washington. Passionate about graphics, simulation, and neuro-AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agviz
October 17, 2025 – October 18, 2025
AutoGrad Flow (agflow): Visualize flow of states/parameter flow in autograd tree for neural networks and similar models
View Projectkpflow
July 14, 2025 – Present
Analysis of gradient descent learning in general recurrent models using operators
View Projectadjoint_dynamics
April 16, 2024 – May 15, 2025
Studying Features of Neural Networks (Discrete and Continuous Time) Through the Backwards Flow Dynamics
View ProjectsmoothGrad
May 17, 2023 – May 17, 2023
Code for smooth gradients paper Training Networks Consisting of Biophysical Neuron Models Through Smooth Monte-Carlo Gradient Estimation
View Projectneuro_ai_lab
February 10, 2023 – May 13, 2023
Aimed to be a collection of different code I accumulate for training of neuroscience related models or benchmarks.
View Projectknc-neural-calculus.github.io
September 8, 2020 – January 22, 2023
knc-neural-calculus.github.io — GitHub repository
View ProjectGLS
July 29, 2018 – August 9, 2018
Generalized Lindenmayer System (GLS): Implements L-Systems parser with hooks into code, parameters, basic expressions, etc.
View ProjectIsosurface-Renderer
March 3, 2017 – July 31, 2018
Isosurface renderer using marching cubes. Written for Modern OpenGL (specifically 4.5) with GLFW 3 and GLM.
View ProjectCultural Fit Analysis
The candidate's projects are primarily research-oriented and academic, focusing on the theoretical aspects of neural networks and computational models. While this demonstrates a strong intellectual curiosity, the lack of team-based projects or industry-specific applications makes it difficult to fully assess cultural fit for a typical industry Data Scientist role. The projects align with the technical aspects of a Data Scientist role, particularly in research-heavy environments.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.