Hirsh
PhD candidate
Expertise
Technology Policy, Web Development, Cyberdefense/Cybersecurity, Election Security
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.
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.
christa
PhD
Expertise
computational genomics, bioinformatics, epigenetics, neurological diseases, health data science, machine learning for health data
Yilan
PhD
Expertise
method development to better understand the disease causes, applications of machine learning/deep learning in biology
David
PhD
Expertise
neural signal processing, data science and statistics, AI/ML for medical applications
Matthew
PhD
Expertise
Medical Imaging, Medical Physics, Machine Learning, Medical Image Analysis/Processing, Artificial Intelligence
Shervin
PhD
Expertise
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management
Michael
MS
Expertise
Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev
Khushi
PhD candidate
Expertise
machine learning, deep learning, computer vision, artificial intelligence, computational biology, genomics
Faisal
PhD
Expertise
computer science, data science, machine learning, blockchain, cloud computing, web applications, Internet of Things
Tristan
PhD
Expertise
Data science, AI, machine learning, sustainability, renewable energy, weather, climate, ecology, endangered species conservation, marine biology, biodiversity, microplastics, satellite data, remote sensing
Mark
PhD
Expertise
neuroengineering, brain-computer interfaces, neuromorphic engineering, computational neuroscience, electronics, computer science, signal processing, robotics
Jeff
PhD candidate
Expertise
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis
Shomik
PhD candidate
Expertise
Renewable energy (solar), heat transfer, computational materials science
Thomas
PhD candidate
Expertise
Physics: semiconductor, quantum, astrophysics, electromagnetism, nuclear. Mathematics: algebra, calculus, data set manipulation with code. Computer science: AI model training and testing, ML applications and integration. Mechanical engineering: Heat transfer, fluid mechanics, designing practical experiements/tools
Alex
PhD candidate
Expertise
ML for software engineering, automatic code generation, interpreting neural networks
Adam
PhD
Expertise
Machine learning, causal inference, quantitative finance, biomedical engineering, and data science