
Shomik
PhD candidate
Expertise
Renewable energy (solar), heat transfer, computational materials science

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.

Renewable energy (solar), heat transfer, computational materials science

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,

perception and computer vision for robotics, image processing, scene understanding

machine learning, artificial intelligence, data science, data analytics, python programming, statistics

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

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

AI applications in medicine, computer science, machine learning, deep learning, computer vision, biomedical data processing and analysis

Artificial Intelligence, Computer Vision, Natural Language Processing, Neuroscience

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

Cryptography, Privacy-Preserving AI/ML, Homomorphic Encryption, GenAI & Social Media Psychology, Computer Vision, and Clinical AI (Informatics & Medical Imaging)

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

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

web development, machine learning, game development, general coding, epidemiology, philosophy, theater

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