Alan Zhou
Data ScientistMember since June 25, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
discriminative_incremental_parsing
November 11, 2025 – Present
discriminative_incremental_parsing — GitHub repository
View Projectciwganfiwgan-pytorch
May 13, 2022 – October 20, 2025
ciwganfiwgan-pytorch — GitHub repository
View ProjectarticulationGAN
February 23, 2022 – September 1, 2023
articulationGAN — GitHub repository
View ProjectberkeleySClab.github.io
February 15, 2022 – February 16, 2022
Berkeley Speech and Computation Lab
View Projectciwganfiwgan-demo
October 28, 2021 – March 30, 2022
ciwganfiwgan-demo — GitHub repository
View ProjectSNES-DeepRL-Project
August 4, 2019 – October 2, 2020
SNES-DeepRL-Project — GitHub repository
View ProjectMarkovBoi
December 20, 2018 – November 7, 2021
Attempt to create a Discord bot that creates Markov Chains based on user messages to simulate sentences.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong inclination towards research-oriented and experimental personal projects, particularly in the domain of Generative Adversarial Networks (GANs) and Deep Reinforcement Learning. This suggests a self-driven individual with a passion for exploring advanced topics in AI. The diversity of projects, from GANs to incremental parsing and even a Discord bot, shows a broad technical curiosity. However, without information on professional experience or team contributions, assessing cultural fit beyond individual technical drive is challenging. The projects align well with a Data Scientist role focused on research and development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.