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

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.

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

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

engineering product design and development, upcycling and recycling waste into products, applications of artificial intelligence and robotics in healthcare / public service, AI and mental health, comparative theology / philosophy / interfaith studies

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

business, business analytics, data visualization, data analysis, marketing, power BI, Business, Management Science, Engineering, Food science & Food Processing Engineering, Google Analytics, cloud computing, enterprise tech infrastructure, Artificial intelligence (AI)/ Machine Learning (ML) application for business

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

machine learning, deep learning, computer vision, artificial intelligence, computational biology, genomics

computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

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

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

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

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

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

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