Professional Experience [LinkedIn]

Assistant Professor

Employer: Boise State University
Location: Boise, ID, USA
Date: 07/2023 - present

Ph.D. Software Engineer Intern

Employer: Uber Technologies, Inc.
Location: Sunnyvale, CA, USA
Date: 05/2022 - 08/2022
Mentor: Dr. Qi Wei

• Queried data using PrestoDB;
• Improved the OT-level ETA model by ensemble regression approaches in the coordinated structure pricing framework for trip pricing;
• Proposed a new metric to measure the market equilibrium;
• Wrote unit tests to cover the model.

Algorithms and Advanced Analytics Intern

Employer: Roche Diabetes Care, Inc.
Location: Indianapolis, IN, USA
Date: 05/2021 - 07/2021
Mentor: Dr. Siva Chittajallu

• Explored reinforcement learning techniques, e.g., DQN and Actor-Critic, to control the glycemic risk;
• Employed auto-encoding recurrent networks to predict the insulin intake of T1D and investigated how to handle the prediction uncertainty in time-series data.

Research Intern

Employer: The Min H. Kao Department of EE & CS, The University of Tennessee, Knoxville.
Location: Knoxville, TN, USA
Date: 06/2020 - 08/2020
Mentor: Dr. Dali Wang

• Developed an efficient deep learning algorithm for synthesizing 3D live microscopic images.

Foreign Exchange Trading Specialist

Employer: China Merchants Bank Co., Ltd.
Location: Guangzhou, Guangdong, China
Date: 01/2014 - 07/2016

• Executed transaction orders and cash management;
• Provided Anti-money-laundering investigation support as a due diligence measure on highest-risk customers;
• Ensured transactions comply with the regulation of foreign exchange in Mainland China.

Professional Skills

Programming Languages:

• Python (7 yrs+), R (1 yr), C/C++ (2 yrs), Java (1 yr), MATLAB, CUDA, HTML+CSS+JavaScript.

Tools:

• TensorFlow with Keras, PyTorch, Linux, AWS EC2, MySQL, PrestoDB, Git.

Statistics:

• linear & logistic regression, Bayesian inference, K-means & expectation–maximization, support vector machine, random forest, XGBoost, Markov chain Monte Carlo methods (Gibbs sampling), hidden Markov models, principal component analysis, etc.

Soft Skills:

• programming in the fast-paced work environment, multi-tasking, critical thinking, effective communication, proactive problem solving, etc.

Teaching and Mentoring Experience

Instructor

Course: CS533 Introduction to Data Science, Boise State (Fall 2023)

Teaching Assistant

Course: CSCI58000 Algorithm, IUPUI (Spring 2019 / Fall 2020 / Spring 2021)

• Graded course writing and programming assignments; Helped students better understand the algorithms.
  

Course: CSCI54900 Intelligent Systems, IUPUI (Fall 2020)

• Delivered a lecture to introduce the topic about genetic algorithm; Organized weekly meeting and instructed students on course project; Graded course assignments.
  

Course: CSCI57300 Data Mining, IUPUI (Fall 2019)

• Helped prepare course miscellaneous; Graded course assignments; Instructed students to understand the classic algorithms of data mining.
  

Mentor

Program: Data Science Research Experience for Undergraduates (DSREU) (Summer 2019)

• Assisted in DSREU summer bootcamp; Mentored undergraduate students on the academic research project.
  

Presentations

• Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation (Oral), CIKM - GA, USA (Fall 2022)
  
• Deperturbation of Online Social Networks via Bayesian Label Transition (Oral), SDM - VIRTUAL (Spring 2022)
  
• Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks (Oral), ECML-PKDD - VIRTUAL (Fall 2021)
  
• Assessment of Reinforcement Learning for T1D Glycemic Control (Oral & Poster), Roche Diabetes Care, Inc. - IN, USA (Summer 2021)
  
• Geometrically Matched Multi-source Microscopic Image Synthesis Using Bidirectional Adversarial Network (Oral), MICAD - Birmingham, UK (Spring 2021)
  
• Lighter U-Net for Segmenting White Matter Hyperintensities in MR Images (Oral), MobiQuitous - TX, USA (Fall 2019)
  
• Exploration of Crypto-market (Oral), Graduate Student Symposium, School of Science, IUPUI - IN, USA (Summer 2019)
  

Academic Community Services

• TC/PC Members & Reviewers: TKDE, AAAI’22/’23, CIKM’22/’23, SIGKDD’21, VCIP’21, MICAD’21, MobiQuitous’19, ISM’17, etc.