Webster Guan Jeopardy Profile: Age, Job, Family, Stats
Find out all the Jeopardy! results for Webster Guan, including games played, scores and competitors.
Webster Guan Jeopardy Contestant Profile
Webster Guan is a biotechnology data scientist, chemical engineer, and analytics leader based in Cambridge, Massachusetts. He currently serves as Director of Analytics and Data Science at LifeCanvas Technologies, where he leads the development of advanced image analysis software and computational tools for large-scale biological imaging. His career combines expertise in chemical engineering, biomedical research, computer vision, machine learning, neuroscience, and data science. Guan earned all three of his advanced degrees from the Massachusetts Institute of Technology (MIT), including a Ph.D. in Chemical Engineering, where he was a National Science Foundation Graduate Research Fellow and conducted pioneering research in the Kwanghun Chung Lab.
Throughout his academic and professional career, Guan has worked on a wide range of interdisciplinary projects. His doctoral research focused on tissue transformation technologies that convert brain tissue into transparent hydrogels for enhanced imaging and molecular analysis. He also developed computational models and image processing pipelines that support brain-wide neural connectivity mapping and Alzheimer’s disease research. Beyond academia, he has applied engineering and analytical expertise in industry roles with Merck, Woodside Energy, Chevron Phillips Chemical Company, and LifeCanvas Technologies. His data science accomplishments include winning the 2019 Citadel Boston Regional Datathon and reaching the finals of both the 2019 Citadel Data Open Championship and the 2018 NBA Basketball Analytics Hackathon.
Guan’s background extends beyond research and industry. Through Engineers Without Borders, he co-led the development and construction of a clean water system in Ilam, Nepal, providing improved water access to more than 100 households. He has also held leadership positions within the MIT graduate community and volunteered as a math and science tutor for underserved students in Pasadena, California. His technical expertise spans machine learning, computer vision, image processing, molecular biology, microscopy, and computational modeling. Fluent in English, Chinese, and French, he has authored multiple scientific publications and continues to contribute to biotechnology innovation through both research and product development.
| Field | Details |
|---|---|
| Name | Webster Guan |
| Location and Residence | Cambridge, Massachusetts, United States. Works in the Greater Boston area. Current professional location listed as Cambridge, Massachusetts. |
| Profession and Jobs | Director of Analytics and Data Science at LifeCanvas Technologies (September 2024–Present). Former Principal Image Data Scientist at LifeCanvas Technologies (May 2023–September 2024). Graduate Research Assistant at MIT’s Kwanghun Chung Lab (2017–2023). Former Process Engineer at Woodside Energy, Merck, and Chevron Phillips Chemical Company. Former research positions at Caltech, Michigan State University, and Northwestern University Feinberg School of Medicine. Biotechnology Data Scientist, Chemical Engineer, Computer Vision Specialist, Machine Learning Researcher, Neuroscience Imaging Researcher, Analytics Leader. |
| Gender and Sex | Male |
| Age and Date of Birth | |
| Nationality and Ethnicity | Likely American nationality. Likely of Chinese or Chinese-American ethnicity based on surname and language background (educated guess). |
| Education and School | Massachusetts Institute of Technology (MIT): Ph.D. in Chemical Engineering (2016–2023), Minor in Biomedical Data Analysis, NSF Graduate Research Fellow. MIT: Master of Science (M.S.) in Chemical Engineering Practice (2016–2019). California Institute of Technology (Caltech): Bachelor of Science (B.S.) in Chemical Engineering with Honors (2012–2016). Activities included Tau Beta Pi Honors Society, American Institute of Chemical Engineers, Engineers Without Borders, Men’s Volleyball Club, Graduate Student Council, and Sidney Pacific Graduate Community leadership. |
| Relationships (Married/Dating/Sexuality) and Family | |
| Biography and More Details | Chemical engineer by training with extensive experience across biotechnology, neuroscience, biomedical imaging, machine learning, computer vision, data science, and process engineering. Developed tissue transformation technologies enabling rapid chemical transport through elastic brain tissue hydrogels. Created image processing algorithms for reconstruction of human brain slabs and neural connectivity mapping. Implemented deep learning algorithms for Alzheimer’s disease plaque detection. Built finite element models for chemical transport studies. Participated in machine learning projects involving recurrent neural networks for protein structure prediction and multimodal attention models for lung pathology classification. Led development of SmartAnalytics image analysis software and light-sheet microscopy post-processing tools at LifeCanvas. Winner of the 2019 Citadel Boston Regional Datathon, finalist in the 2019 Citadel Data Open Championship and 2018 NBA Basketball Analytics Hackathon. Co-led a clean water engineering project in Ilam, Nepal through Engineers Without Borders, delivering improved water infrastructure to over 100 households. Served as Vice President of Resources for MIT Sidney Pacific Graduate Community. Tutored middle and high school students in mathematics and science through Caltech Y. Fluent in English, Chinese, and French. Skilled in teaching, cell culture, molecular biology, fluorescence microscopy, PCR, biochemistry, MATLAB, immunohistochemistry, image processing, computer vision, biomedical signal processing, machine learning, and healthcare analytics. Author of multiple scientific publications including work published in Science and Chemistry of Materials. Has experience consulting on industrial engineering challenges involving corrosion mitigation, CO₂ conversion technologies, fluid dynamics, process optimization, and manufacturing systems. Currently focuses on developing scalable analytics and computer vision solutions for terabyte-scale 3D biological imaging datasets. |
Contestant Image Credit: Jeopardy Official Website
Webster Guan Jeopardy Results
| Thursday, 4 June 2026 | Peter Mc Corona, California Energy Industry Professional 3 Day Winnings of $74,197 Winning Score: $22,800 Round 2 Score: $11,400 Round 1 Score: $4,600 | Webster Guan Cambridge, Massachusetts Biotech Data Scientist Final Score: $9,200 Round 2 Score: $13,600 Round 1 Score: $1,200 | Susan Moskop Memphis, Tennessee Retired Arts Administrator & Actress Final Score: $799 Round 2 Score: $7,200 Round 1 Score: $0 |