
Adam
PhD
Expertise
Machine learning, causal inference, quantitative finance, biomedical engineering, and data 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.

Machine learning, causal inference, quantitative finance, biomedical engineering, and data science

Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis

Artificial Intelligence, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science

physics, astronomy, computational astrophysics, fusion, quantum computing, Reviewing Dark Matter Models, AI/Machine Learning Applied to the Characterization of Exoplanets Observed by JWST, Fermi Analysis of the Drake Equation, cybersecurity, quantum-resistant encryption

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

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

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

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

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

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

neuroengineering, brain-computer interfaces, neuromorphic engineering, computational neuroscience, electronics, computer science, signal processing, robotics

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

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

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

ML for software engineering, automatic code generation, interpreting neural networks

Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev

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