Daniel
PhD candidate
Expertise
Physics, Math
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.
Physics, Math
Biomechanics, organismal biology, anatomy, evolutionary biology, ecology
Neuroendocrinology, Neuroscience, Reward and Motivation, Learning and Memory, Drugs, Psychopharmacolgy, Sex differences, Psychopathology, Development, Evolution
Water treatment, nanotechnology, environmental justice, environmental engineering, green chemistry, green engineering, environmental policy, sustainable materials
Robotics, control systems, AI/machine learning
computational biophysics, systems neuroscience, computational physics, soft matter physics
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing
Data Science, Physics & Statistics
Galatatic Astrophysics, Particle Physics (neutrino/rare event searches), History of Physics, Instrumentation, Instrument Design, Signal Processing, Applied Mathematics in Physics
Particle Physics, Cosmology, Simulation, Physics Communication, Group Theory
Material Science, Nanotechnology, Manufacturing, Semiconductors
Games, Animation, Computer Graphics, Simulation, Robotics, Computer Vision, Computer Science, Business Development, Entrepreneurship, Study Skills, Math, Software Eng, AppDev, GameDev
Neuroscience of perception and action, statistics, biology, experiment design and data analysis, technical writing, integrative / multi-disciplinary science
Astrophysics, Astronomy, Exoplanets, Python programming
quantum physics, engineering, science, the politics and global influence of science, gender studies
Aerospace Engineering, Astronautics, Space Research
Any project involving scientific computing (e.g. simulation, data analysis; can be in a domain I'm familiar with like physics, or otherwise), AI (decision-making, neural networks, etc.), aerospace engineering (related to: orbital dynamics/satellites/space stuff, aeronautics/aircraft), Art (traditional or computer-driven)
Aviation and aerospace engineering, mechanical engineering, aviation history, engineering design process
Foundations of data science, machine learning, mathematics, probability, statistics
Aerospace Robotics, Autonomous Systems, Control Systems, Guidance, Navigation & Control (GNC)