Research Program Mentors
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.
Adam
PhD
Expertise
Machine learning, causal inference, quantitative finance, biomedical engineering, and data science
Noah
PhD candidate
Expertise
vehicle security, vehicle reliability, cybersecurity, applied machine learning, Computer Science, Operating System Security
Jeff
PhD candidate
Expertise
Statistical Analysis, artificial intelligence, machine learning, sports analytics. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, medicine, and sports such as football, soccer, basketball, and baseball/softball. Biostatistical Analysis, including longitudinal studies and survival analysis
Faisal
PhD
Expertise
computer science, data science, machine learning, blockchain, cloud computing, web applications, Internet of Things
Robert
PhD
Expertise
Physics, Optics, Quantum Mechanics, Math, Sports Analytics, Scientific Writing, Science Communication
John
MS
Expertise
Artificial Intelligence, Machine Learning, Business, Finance, Economics, Business Analytics, Statistics, Psychometrics, Research Methods
Vedrana
PhD candidate
Expertise
AI applications in medicine, computer science, machine learning, deep learning, computer vision, biomedical data processing and analysis
Hossein
PhD
Expertise
Data Science, Machine Learning, Deep Learning, Computer Vision, Large Language Models, Natural Language Processing, Cloud computing, Chemical Engineering, Thermodynamic modeling, Process Modeling
Michael
MS
Expertise
Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev
Shervin
PhD
Expertise
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management
Montserrat
PhD
Expertise
Statistical analysis, including regression, longitudinal analysis, and machine learning using R. Statistical analysis in topics such as politics, education, public health, and economics. Research design, including experimental design and survey design. Comparability studies, including propensity score matching and measurement invariance.
Hirsh
PhD candidate
Expertise
Technology Policy, Web Development, Cyberdefense/Cybersecurity, Election Security
Micah
PhD candidate
Expertise
AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision