
Lauren
MS candidate
Expertise
Gene editing, Disease Biology, Translational Science, Sensory Neuroscience, molecular biology, cell biology
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.
Gene editing, Disease Biology, Translational Science, Sensory Neuroscience, molecular biology, cell biology
Neuroscience, Computational Neuroscience, RNA-SEQ, Bioinformatics
Computer Sciences
Music, Film Scoring
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
molecular biology, RNA, oncology drug development, RNA Therapeutics, cancer biology, C. elegans, aging research, lipid metabolism, translational research, public health
Machine Learning, Security, Privacy, Data Science, Statistics, Computer Science
Environmental Engineering/ Nuclear engineering/ Mechanical engineering/ Computer programming/Music/3D modeling/ Robotics
Artificial intelligence(ML/NLP/DL), Computer vision & graphics
deep learning, machine learning, linear algebra, computer vision, probability theory, medical
Machine Learning/Artificial Intelligence, Large Language Models, Building AI apps and agents
robotics, machine learning/data science, philosophy, photography, organismal/mathematical biology
coding, calculus, modeling, online game creation, epidemiology, biostatistics
physics of living systems; quantitative data analysis; computational projects; biological theory; applied mathematics
Ecology, marine biology, oceanography, fisheries management, environmental policy, remote sensing
Beginner-friendly AI projects focused on foundational concepts and practical applications, including dataset exploration and prediction tasks, as well as engineering and robotics projects involving control systems, embedded systems, and hands-on problem-solving.
Machine learning/AI in computer vision and NLP or Computational Biology.
combinatorics, graph theory, algebra, math but make it girlypop, girlypop but make it math, co-opting math content from one area and using it in wildly incompatible (but not really) areas
Economics, Transportation, Urban Planning, Data Science, Climate Change
Data Science