Zhiwei Zhang
张志伟[dʒ-weɪ] · he[dge wai]ve
I’m an Applied Scientist at Amazon Ads in New York, working on large-scale machine learning modeling and LLM applications. I contribute to models that power real-time recommendation systems serving over 300 million users. Previously, I was a Research Scientist in Global Technology Applied Research (GTAR) at J.P. Morgan Chase, where I optimized algorithms with CUDA to tackle challenging mathematical problems.
I earned my Ph.D. in Computer Science at Rice University, advised by Moshe Vardi and co-advised by Anastasios Kyrillidis, and my B.S. in Computer Science at Nanjing University (National Elite Program). My research interests include artificial intelligence, machine learning, quantum computing, optimization, and formal verification.
Education
Education
Rice University 2018–2024
Ph.D. in Computer Science
Ph.D. thesis: Solving Hybrid Boolean SAT by Continuous Optimization
PDFM.S. in Computer Science, earned en route to the Ph.D. (2020)
M.S. thesis: Solving Hybrid Boolean Constraints by Fourier Expansions and Continuous Optimization
PDFAdvisor: Prof. Moshe Vardi
Courses
Cloud Computing, Fall 2021
Parallel Computating, Spring 2020
Optimization: Algorithms, Complixity, and Approximations, Fall 2019
Computer Systems Architecture, Fall 2019
Statistical Machine Learning, Spring 2019
Probilitistic Algorithms and Data Structures, Spring 2019
Automated Program Verification (Seminar), Spring 2019, 2020, 2021
Oral Communication Skills, Spring 2019
Logic in Computer Science, Fall 2018
Topics in Programming Languages and Formal Methods, Fall 2018
Design and Analysis of Algorithms, Fall 2018
Nanjing University 2014–2018
B.S. in Computer Science (National Elite Program)
Advised by Prof. Gong Cheng, working on knowledge graphs and question answering.
Contact
CV available upon request.
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