CV

You can download my CV (last updated June 2024)

Education

Ph.D. in Mechanical Engineering, University of Michigan, 2027 (expected)
M.S. in Computational Materials Science and Engineering, Carnegie Mellon University, 2022
B.E. in Materials Science and Engineering, South China University of Technology, 2021

Summer 2023: Machine Learning Summer Internship
- Redesign Science
- Duties included: Improving Machine-Learned Collective Variables with Energy-based Path Construction
- Supervisor: Dr. Andreas Mardt
Summer 2022 and Spring 2023: Research Assistant
- Carnegie Mellon University
- Duties included: Developing AI for molecule property prediction
- Supervisor: Prof. Amir Barati Farimani
Spring 2023: Global Alpha Researcher
- Trexquant Investment LP
- Duties Included: Applying Machine Learning for profitable strategies using trading signals

November 25, 2022

Invited Talk at Brown University, CRUNCH Group Seminar, Online

April 03, 2024

Poster at MICDE Scientific Foundation Model Conference, Ann Arbor, MI

June 19, 2024

Poster at Molecular Machine Learning Conference, Montreal, Quebec

April 22, 2023

Reviewer: NeurIPS’23-24, ICLR’24, ICML’24, ICLR ML4Materials Workshop’23, ICML SPIGM Workshop’23-24, ICML AI4Science Workshop’24

Computational Skills
- Programming Languages: Python, SQL, MATLAB, R
- Frameworks: PyTorch, Tensorflow, Keras
- Developer Tools: Google Cloud Platform, PyCharm, VS code, Visual Studio, Docker, Git
- Libraries: pandas, NumPy, Matplotlib, sklearn, Huggingface, RDKit
- Deep Learning Model: Transformer, DDPM, Score-based Generative Model, LSTM, CNN
- Computation and Simulation Tools: Molecular Dynamics, DFT
Experimental Skills
- Synthesis Skills: organic synthesis of small molecules and COFs, purification skills like column chromatography and Soxhlet purification
- Characterization Techniques: FTIR, UV-vis spectrophotometry, XRD, SEM, XPS
- Electrochemical Experimental Skills: CV, DPV, chronoamperometry
Additional Skills
- Spoken Languages: English (fluent), Chinese (native)