Henry
PhD candidate
Expertise
Chemical engineering & data science applied to biology
Polygence mentors are selected based on their exceptional academic background, teaching experience, and unique ability to inspire the next generation of innovative thinkers and industry leaders.
Chemical engineering & data science applied to biology
Machine Learning in Computer Science, Computer Science,
Proof Assistants, Programming Languages, Verification, Computer Science
Software engineering (Embedded, application); Electronics engineering, robotics and control
artificial intelligence, deep learning, climate change, public policy, tech regulation
psychology, neuroscience, cognition, reasoning, research methods, computation, statistics, naturalistic behavior, reinforcement learning, neuroeconomics, decision making, memory, navigation, Computational Neuroscience, Decision Making
Machine Learning, Data Science and Analytics, Data Structures and Algorithms, People Management, Computer Vision
Games, Animation, Computer Graphics, Simulation, Robotics, Computer Vision, Computer Science, Business Development, Entrepreneurship, Study Skills, Math, Software Eng, AppDev, GameDev
Econometrics & statistics, macroeconomics, economic policy, economic history, finance
Race and ethnic relations, Culture, Business, Organizational science, social science
computation, hurricanes, climate change resilience, probability and statistics
Education, Public Policy, Racial Inequality
medical imaging, darkfield x-ray, image processing
Aerospace engineering
Projects that approach medicine from a public health perspective; Understanding the global implications of health policy; Using quantitative and qualitative analysis
Cancer Biology, Biomedical Engineering, Biology, Biotechnology, Data Analysis, tissue engineering, Healthcare, Public Health, Patient Care Perspectives
cancer biology, bioinformatics, data analytics, public health, computer science, biology, coding
Microeconomics, Macroeconomics, Real Analysis
Analytics, Data Science, AI, Machine Learning, Economics, Econometrics, Business, Statistical Programming, Geospatial Analytics
Data analytics and exploration across the landscape of sport. Interests include NFL, NBA, MLB, PGA, UFC, Tennis, and more! Secondary interests include strategic management, marketing, stocks, cryptocurrency, sport business, entertainment ticketing and sponsorship