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.
Evolution, Genetics, Adaptation, Speciation, Natural Selection, Biodiversity, Phylogenetics, Evolutionary adaptions in response to climate change, Projects focused on analyzing the genetics underlying a specific phenotype or disease, Projects that focus on mining available data (such as collecting and analyzing downloadable genetic sequences from published research work)
Cognitive neuroscience, psychology, biomedical engineering, electical & computer engineering, machine learning
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
ML for software engineering, automatic code generation, interpreting neural networks
Chemistry, drug design, nanotechnology, data science, machine learning, biosensors, digital health, physics, mobile app, web development
Artificial Intelligence, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science
Computer Science is my main area of expertise as it is my current job is as a software engineer. I have to use calculus and statistics in my job as well since I focus on machine learning and artificial intelligence in that role. I am an active investor so I can also tell students about business. As a former frontend developer I also have a solid understand of product design.
Biomedical Engineering, Robotics, Neuroscience, Computational Neuroscience, Data Analysis, Machine Learning
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management
Machine Learning, Evolutionary Computing, Genetic Algorithms, Agent-based Modeling, Mechanism Design, NLP Data Science
Neuroscience, Biology, Engineering, Genetics, Data Science
Machine Learning, Artificial Intelligence, Computer Science, and Math
AI/ML, Programming, Career Guidance, Computer Science, Software Eng, AppDev
deep learning, machine learning, linear algebra, computer vision, probability theory, medical
Applied statistics, data science, political science, social science, machine learning, regression
computer science, data science, machine learning, blockchain, cloud computing, web applications, Internet of Things
Medical Imaging, Medical Physics, Machine Learning, Medical Image Analysis/Processing, Artificial Intelligence
data science, computer science, computational linguistics, natural language processing, web scraping (Twitter) and analytics, probability theory, statistics, calculus
Climate change, data science, AI, machine learning, ecology
Mathematics, Computing