
Christina
PhD candidate
Expertise
Environmental Politics, Comparative Politics, African Politics, Political Communication, Qualitative and Quantitative Methods

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.

Environmental Politics, Comparative Politics, African Politics, Political Communication, Qualitative and Quantitative Methods

Health Disparities, Demography, Computational Methods, Social Networks, Social Media, Social Inequality

neural signal processing, data science and statistics, AI/ML for medical applications

Business, Sports Analytics, Engineering, Basic Finance, Communication/Public Speaking

biology, medicine, neuroscience, Bioinformatics, Writing, Data science and AI for health and medicine, applications of neuroimaging, Genetics, Neuroscience, Neuroimaging, data visualization using real datasets, Precision medicine and the future of healthcare

Data Science, Engineer, Statistics, Math, Design Products, engineering design process, user experience design and research, toy design, CAD/3Dprinting, prototyping and rapid manufacturing

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

physics (theoretical and observational cosmology, astro-particle physics), mathematics and statistics

Public Policy, Program Evaluation, Criminal Justice Reform, Prisoner Reentry, Education

Behavioral genetics, genetic and environmental risk factors for dementia/Alzheimer's Disease, health psychology, biological aging

satellite-based navigation, model-based estimation, Kalman filters, orbital mechanics, Global Positioning System, stochastic processes, probability and statistics, MatLab coding, writing scientific papers (equation-heavy) in LaTeX, creating figures on Adobe Illustrator

Software Engineering, Machine Learning, Data Science, Applied AI/RAG Systems, Full-Stack Development