
christa
PhD
Expertise
computational genomics, bioinformatics, epigenetics, neurological diseases, health data science, machine learning for health data

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.

computational genomics, bioinformatics, epigenetics, neurological diseases, health data science, machine learning for health data

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

Electrical and Computer Engineering/Computer Science/Scientific Simulation/Chip Design/Software Engineering

Data Science, Data Analytics, Machine Learning, Sports Analytics, Natural Language Processing, Data Visualization, Computer Science, Biotechnology

Cryptography, Privacy-preserving AI/ML, GenAI–social media psychology research, Homomorphic Encryption

Neuroscience of consciousness, applications of machine learning to biomedical research, how do our genetic backgrounds influence our psychology

Biomedical Engineering, Deep Learning, Personal Finance, Website Development, Machine Learning, Statistics, Biomaterials, Biomechanics, Bioimaging, Image Processing, Nuclear Medicine, Tissue Engineering, Material Science, Disease Modeling, Cancer Research, Personal Development

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

Data Science, Machine Learning, Deep Learning, Computer Vision, Large Language Models, Natural Language Processing, Cloud computing, Chemical Engineering, Thermodynamic modeling, Process Modeling

vehicle security, vehicle reliability, cybersecurity, applied machine learning, Computer Science, Operating System Security

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.

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

data science, computer science, computational linguistics, natural language processing, web scraping (Twitter) and analytics, probability theory, statistics, calculus

Medical Imaging, Medical Physics, Machine Learning, Medical Image Analysis/Processing, Artificial Intelligence

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

AI Ethics, Human Centered Design, Tech Policy, Accessible AI design, Computer Graphics, Computer Vision, ML