
Michael
MS
Expertise
Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev

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.

Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev

Molecular Biology, AI genetics, chemistry, developmental biology, Coding,

bioinformatics, machine learning, cancer, drug discovery, drug development, translational science, startup, academia

method development to better understand the disease causes, applications of machine learning/deep learning in biology

ML for software engineering, automatic code generation, interpreting neural networks

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

physics, astronomy, computational astrophysics, fusion, quantum computing, Reviewing Dark Matter Models, AI/Machine Learning Applied to the Characterization of Exoplanets Observed by JWST, Fermi Analysis of the Drake Equation, cybersecurity, quantum-resistant encryption

Machine Learning in Finance and Computer Vision, Sentimental Analysis, NLP, Data Science

AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision

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.

computer science, data science, machine learning, blockchain, cloud computing, web applications, Internet of Things

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

Chemical Engineering, Electrical Engineering, Mechanical Engineering, Optimization. Operations Research, Environmental Engineering, Applied Math