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.
business, business analytics, data, data visualization, data analysis, marketing, power BI, Business, Management Science, Engineering, Food science & Food Processing Engineering, Google Analytics, cloud, cloud computing, enterprise tech infrastructure, Artificial intelligence (AI)/ Machine Learning (ML) application for business
Machine learning, causal inference, quantitative finance, biomedical engineering, and data science
Chemical Engineering, Electrical Engineering, Mechanical Engineering, Optimization. Operations Research, Environmental Engineering, Applied Math
Cryptography, Privacy-Preserving AI/ML, Homomorphic Encryption, GenAI & Social Media Psychology, Computer Vision, and Clinical AI (Informatics & Medical Imaging)
human-computer interaction, social media, tech ethics, AI ethics, privacy, UX design, computer science, social psychology, cognitive psychology
chemical engineering, drug delivery, nanotechnology, chemistry, physics, materials science, computer science, machine learning
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management
machine learning, deep learning, computer vision, artificial intelligence, computational biology, genomics
Artificial Intelligence, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science
chemistry, physics, machine learning, computational modeling, programming, quantum chemistry
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.
data science, computer science, computational linguistics, natural language processing, web scraping (Twitter) and analytics, probability theory, statistics, calculus
ML for software engineering, automatic code generation, interpreting neural networks
vehicle security, vehicle reliability, cybersecurity, applied machine learning, Computer Science, Operating System Security
method development to better understand the disease causes, applications of machine learning/deep learning in biology
