Biography

I am a fourth year Ph.D. Candidate in the Department of Chemical and Biomolecular Engineering at University of Illinois at Urbana-Champaign. I am also enrolled in Computational Science and Engineering Graduate Concentration Program.

My research focuses on developing and employing atomistic simulations, machine learning, and data science approaches for understanding complex biological processes (i.e. protein conformational dynamics).

Interests

  • Machine Learning
  • Data Science
  • Computational Modelling
  • Protein Dynamics
  • Parallel Programming
  • Bioinformatics
  • Public Speaking

Education

  • Ph.D. in Chemical and Biomolecular Engineering, 2021

    University of Illinois at Urbana-Champaign

  • Concentration in Computational Science and Engineering, 2021

    University of Illinois at Urbana-Champaign

  • M.S. in Chemical and Biomolecular Engineering, 2019

    University of Illinois at Urbana-Champaign

  • B.S. in Chemical Engineering, 2016

    Tianjin University

Skills

Python

100%

MySQL

100%

Shell Scripting

100%

Statistic Modelling

100%

Bioinformatics

100%

Machine Learning

90%

Statistics

80%

Mathmatics

100%

Data Science

90%

Data Visualization

100%

Scientific Communication

100%

Experience

 
 
 
 
 

Teaching Assistant

University of Illinois at Urbana-Champaign

Jan 2018 – Dec 2019 Illinois, United States

Instructed Courses:

  • ChBE 440 Process Control
  • ChBE 431 Process Design
  • ChBE 430 Unit Operations Laboratory

Responsibilities include:

  • Lead discussion, hold office hours, and tutor students
  • Teach classes and provide feedback to students
  • Coordinate the work of other TAs and grade student assignments
 
 
 
 
 

Graduate Research Assistant

University of Illinois at Urbana-Champaign

Aug 2016 – Present Illinois, United States

Research Fields:

  • Machine Learning for Dimensionality Reduction
  • Machine Learning for Protein Structure Prediction
  • Computational Biology
  • Molecular Modelling and Simulation
  • Statistical Modelling, Markov State Models

Responsibilities include:

  • Perform atomistic molecular dynamics simulations of plant and bacteria transporter proteins
  • Develop, automate, and implement state-of-the-art machine learning of high-dimensional simulation data (several TB)
  • Collaborate with other scientists to develop scientific solutions to unique problems (i.e. water separation)
  • Communicate insights from complex data to both scientific peers and general audience through technical writing, visualization, and oral presentations
 
 
 
 
 

Undergraduate Research Assistant

Western University

Feb 2016 – Jun 2016 Ontario, Canada

Research Fields:

  • Polymer Synthesis
  • Advanced Materials

Responsibilities include:

  • Employ in-situ NMR technique to improve the measurement of monomer reactivity ratio
  • Design, implement, and evaluate polymer synthesis experiments
 
 
 
 
 

Undergraduate Research Assistant

Tianjin University

Sep 2013 – Feb 2016 Tianjin, China

Research Fields:

  • Gas Separation
  • Membranes

Responsibilities include:

  • Design novel asymmetric membranes, which increase membrane permanence by 210% and selectivity by 105%
  • Collobrate with graduate researchers to design and implement experiments

Projects

Molecular Dynamics Simulations of Nutrient Transport in Plants

We performed large-scale all-atom molecular dynamics simulations on petascale supercomputer (Bluewaters Supercomputer) to unravel the …

Optimization of Neural Network Convolution Layer through Parallel Programming

We employed parallel programming optimization approaches for designing and implementing an optimized neural network convolution layer.

Machine Learning for Protein Dynamics Prediction

We developed a machine learning based method (FingerprintContacts) for predicting alternative protein conformations through combination …

Pattern Discovery from DNA Sequences

We developed a “motif finding” algorithm to discover patterns in DNA sequences.

Automatic Feature Selection for Dimensionality Reduction

We developed a genetic algorithm based technique to optimize feature selection for dimensionality reduction.

Accomplish­ments

Second Prize Oral Presentation, Graduate Research Symposium

Chia-chen Chu Fellowship

Harry G. Drickamer Graduate Research Fellowship

Hanratty Travel Award

Area 53 International Speech Contest Second Place

First Prize Poster Presentation, Graduate Research Symposium

Chia-chen Chu Fellowship

Overseas Study Scholarship (10 students selected)

Third Prize, Mathematical Contest in Modeling

Second Prize, Academic Science and Technology Competition

Tianjin Municipal People’s Scholarship (top 3%)

Awarded Municipal Funding

Second Prize, National Mathematical Contest in Modeling

Academic Excellence Scholarships (top 5%)

Academic Excellence Scholarships (top 5%)

Recent & Upcoming Talks

Elucidating Molecular Mechanism of Nitrate Transporters

An oral talk showing the recent results in nitrate transporters.

Improving Nitrogen Use Efficiency in Plants for Sustainable Agriculture

Graduate resesarch oral presentation competition.

How NarK Antiports Nitrate and Nitrite?

Poster presentation at Gordon Research Conference (Mechanisms of Membrane Transport).

Improving Nitrogen Use Efficiency of Crops

Lighting talk at Crops in silico.

Reinforcement Learning of Protein Conformational Ensemble

Flash talk and poster presentation at 63rd Annual Biophysical Society Meeting.

Coursework

Advanced Data Analysis (ongoing)

The Ultimate Hands-On Hadoop - Tame your Big Data (ongoing)

Data Structures and Algorithms

The Data Science Course 2019: Complete Data Science Bootcamp

The Ultimate MySQL Bootcamp

Data Structures and Algorithms

Machine Learning

Applied Parallel Programming

Data Mining

Numerical Analysis

Applied Mathematics

Statistical Thermodynamics

Advanced Calculus

Linear Algebra

Probability Theory and Statistics

Contact

  • 217 904 3204
  • 200 Roger Adams Laboratory, 600 S. Matthews Ave., University of Illinois at Urbana-Champaign, Urbana, IL 61801
  • DM Me