CV

Education

• Ph.D. in Chemical Engineering, Rice University, 2019
• M.S in Statistics, Rice University, 2020
• M.S in Computer Scinece, Georgia Institute of Technology, 2022 (expected)
• B.S. in Polymer Materials & Engineering, Zhejiang University, 2014

Work experience

• 2021 – Present: Applied Scientist, Amazon

• 2019 – 2021: Data Scientist, Schlumberger
  • Apply deep learning and other machine learning methods to predict the health status of assets using sensor data, classify different failure modes and generate risk index for the whole fleet.
• 2015 – 2019: Doctoral Research Assistant, Rice University
  • Rice University
  • Develop theories and algorithms to model thermodynamics of branched molecular systems.
  • Supervisor: Prof. Walter Chapman
• 2012 – 2014: Graduate Teaching Assistant, Rice University
  • Undertake four terms of graduate teaching assistant work.

Skills

• Statistical/Machine/Deep learning
  • LR, KNN, SVM, RF, PCA, k-means
  • LSTM, CNN
• Programming
  • Python (numpy, pandas, scikit-learn, keras, matplotlib, bokeh, flask, pyspark…)
  • SQL, bash, R, Matlab, Fortran, C
• Project/Product development
  • Cloud platfrom, git, docker, dataiku
• Statistics/Maths
  • Bayesian, Mente Carlo, experiment design
  • Fourier transform, density functional theory
• Domain knowledge
  • Prognostics Health Management (PHM), thermodynamics, polymers

Publications

Density functional study of one-and two-component bottlebrush molecules in solvents of varying quality

Zhang, Yuchong, et al. "Density functional study of one-and two-component bottlebrush molecules in solvents of varying quality." Molecular Physics (2020): 1-16.

An Efficient Algorithm for Molecular Density Functional Theory in Cylindrical Geometry: Application to Interfacial Statistical Associating Fluid Theory (iSAFT)

Xi, Shun, et al. "An Efficient Algorithm for Molecular Density Functional Theory in Cylindrical Geometry: Application to Interfacial Statistical Associating Fluid Theory (iSAFT)."Industrial & Engineering Chemistry Research 59.14 (2020): 6716-6728.

Modeling Lower Critical Solution Temperature Behavior of Associating Dendrimers Using Density Functional Theory

Zhang, Yuchong, and Walter G. Chapman. "Modeling Lower Critical Solution Temperature Behavior of Associating Dendrimers Using Density Functional Theory." Langmuir 35.33 (2019): 10808-10817.

Density functional study of dendrimer molecules in solvents of varying quality

Zhang, Yuchong, Arjun Valiya Parambathu, and Walter G. Chapman. "Density functional study of dendrimer molecules in solvents of varying quality." The Journal of chemical physics 149.6 (2018): 064904.

Modeling Thermodynamic Properties of Isomeric Alkanes with a New Branched Equation of State

Zhang, Yuchong, and Walter G. Chapman. "Modeling Thermodynamic Properties of Isomeric Alkanes with a New Branched Equation of State." Industrial & Engineering Chemistry Research 57.5 (2018): 1679-1688

Talks

Modeling Side Chain Conformations of Bottlebrush Polymers from iSAFT Density Functional Theory

October 29, 2018

poster presentation at 2018 AIChE Annual Meeting, Pittsburgh, Pennsylvania

Modeling a Mixture of Multi-bonding Site Solute and Patchy Colloidal Solvent in Confined Systems

October 28, 2018

oral presentation at 2018 AIChE Annual Meeting, Pittsburgh, Philadelphia

Modeling Conformational Properties of Branched Polymers from iSAFT Density Functional Theory

June 25, 2018

oral presentation at 20th Symposium on Thermophysical Properties, Boulder, Colorado

Modeling Solute and Solvent Distributions in Functionalized Dendrimers from iSAFT Density Functional Theory

October 30, 2017

oral presentation at 2017 AIChE Annual Meeting, Minneapolis, Minnesota

DFT Study of Dendrimers in Solvents

August 18, 2017

oral presentation at 6th Texas Soft Matter Meeting, University of Houston, Texas

Effect of Branching on Phase Behavior of Chain Molecules from a New SAFT Based Model

November 14, 2016

poster presentation at 2016 AIChE Annual Meeting, San Francisco, California