
Shae
MS candidate
Expertise
coding, calculus, modeling, online game creation, epidemiology, biostatistics
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.
coding, calculus, modeling, online game creation, epidemiology, biostatistics
machine learning, artificial intelligence, data science, data analytics, python programming, statistics
physics of living systems; quantitative data analysis; computational projects; biological theory; applied mathematics
Condensed Matter Physics (Nanofluidics), Electromagnistm, Quantum Mechanics, Statistical Mechanics, Machine Learning
Bioinformatics and Computational Biology; Computational Modelling; Biology of Aging
Computer Science, Software Development, Data Structures & Algorithms, Computer Architecture, Operating Systems, Embedded Systems, Computer Networking
Aerospace Engineering
Machine Learning
Aerospace Engineering; Flight Software Design; Modeling and Simulation; Bioastronautics
Observational Astrophysics, Computational Astrophysics, Exoplanets, High Contrast imaging, Stellar Nucleosynthesis
Mathematics (algebra, pre-calc & calc), Advanced Mathematics (differential equations, linear algebra), applications and concepts in Electrical Engineering, Probability and Data Science
Economics, Monetary Policy, Behavioral Economics, Game Theory, Econometrics, Forecasting
Finance, Law, Corporate Finance, Statistics
Mathematics, Physics, Mathematical Physics, Coding, Data Analysis. My area of expertise in mathematics is symmetry, and generalized symmetries that arise in mathematical physics.
Economics and Statistics
biochemistry, bioengineering, human diseases, disease treatment, genetics, DNA/RNA, bacterial culture, anti microbial resistance, genetic sequencing, microbial testing
Software engineering (Embedded, application); Electronics engineering, robotics and control
Computer Science
Statistics, biostatistics, longitudinal analysis, survival analysis, multivariate statistics, binomial analysis, multinomial analysis, quantitative analysis that serves to inform policy change.
biology, biochemistry, immunology, chemistry, math