ONCE
7 Posts
4 Categories
15 Tags
Zhenchen Hong
7 Posts
4 Categories
15 Tags
Zhenchen Hong
Physics Ph.D. Candidate | Quantitative Researcher
I study problems at the intersections of machine learning, statistical physics and quantitative genetic biology. Particularly, my research works focus on inferring the evolutionary forces from time-series sequence data with Bayesian statistics.
  Post Charts
  My Projects
MPL4DMS
An open-source package of fitness inference for time-series deep mutational scanning (DMS) data.
Virus Abundance
A genome-wide experimental and quantitative approach to reveal viral infection patterns in mosquito.
Logic Math
A startup math education platform for K-12 students based on naturally logical math flow.
Property Price Prediction
Post-COVID property value analysis and price trend prediction by Zillow data.
Volatility Prediction
Predict short-term volatility for hundreds of stocks across different sectors.
  My Skills
Statistical Inference
85%
Machine Learning
85%
Python
85%
C/C++
80%
Algorithm
75%
JavaScript
65%
  Other Skills
Unsupervised Learning Hexo CSS Clustering Regression Boosting Feature engineering Embedding Nonlinear method Data structure Heap Random number Sampling Metrics
  My CV

Education

University of California, Riverside
Ph.D. candidate in Physics
2017/09 - Present

University of Science and Technology of China
B.S. in Applied Physics
2013/09 - 2017/06

Experience

Honors & Awards

Certifications