
Meg
PhD candidate
Expertise
Materials Sciences/ Applied Physics / Electrical Engineering
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.
Materials Sciences/ Applied Physics / Electrical Engineering
Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Computer Science
Business Development Consulting
Blockchain, Web3, Ethereum, NFTs, DeFi, Metaverse, Crypto
Mechanical & Aerospace Engineering
Software engineering (Embedded, application); Electronics engineering, robotics and control
Biology, Biomedical Sciences, Bioengineering, Biomedical Engineering
Robotics, aerodynamics, system design, drones, structures, programming, computer vision
Molecular Biology, Biotechnology, & Neuroscience
Global Health, Mental Health, Women's and Children's Health, Health Systems, International Relations, Sustainability, Epidemiology, Biostatistics, Algebra, Cell Culture, Tissue Engineering, Cell Biology, Reproductive Rights, Sub-Saharan African Development
Chemical engineering & data science applied to biology
tissue engineering, biomaterials, biomechanics. stem cells
Hardware Software Engineering, Programming, 3D modeling, Hardware, Circuits, PCB Design, Coding Games, Robotics
Nuclear energy, materials science
Mathematics (algebra, pre-calc & calc), Advanced Mathematics (differential equations, linear algebra), applications and concepts in Electrical Engineering, Probability and Data Science
Bioengineering, Tissue Engineering, 3D Bioprinting, and Biology
Aerospace Engineering, Systems Engineering, Engineering Management, Process Engineering
Engineering, mechanical engineering, product design, engineering mathematics, computational engineering, project management, machine learning for mechanical engineering, fluid dynamics for different applications
Quality Assurance, Quality Engineering, Root Cause Analysis, Problem Solving, Process Improvement
Bioinformatics, computational biology, immunology, stem cell biology, cancer biology, robotics, and data science.