Adrian W
- Research Program Mentor
MD/PhD candidate at Albert Einstein College of Medicine
Expertise
artificial intelligence/machine-learning, neuroscience, computational biology/neuroscience, statistics, cancer, psychiatric illness, reading comprehension, creative and academic writing, essays, applications, computer science
Bio
Hi! My name is Adrian, and I am a new mentor at Polygence. I have a strong academic background in neuroscience, machine learning, computer science, research, and mentorship. I am pursuing both my MD and Ph.D. to fulfill my love for both medicine and science. I know that having great mentors was (and is) so important to my development as a person and future doctor, and I want to pay it forward to those coming after me. Prior to joining Polygence, I worked in several different areas including neuroimaging, machine-learning-focused projects in neuroscience and biology, and even forensic bioinformatics. Through my work, I gained valuable experience researching, designing, and executing numerous projects. I have presented my work at national conferences and had the honor of getting trained by some of the top people in my field. I am excited to bring this experience to my role as a tutor and to help students and their families achieve their academic goals. In my free time, I enjoy golf, reading, playing instruments, and watch collecting. I am also passionate about writing and have written about my experiences in medical school and college. I am thrilled to be a part of the Polygence team and to contribute to its mission of making research more accessible to high school students. I am committed to providing personalized support and guidance to my students and their families and am excited to work with you to help achieve your goals!Project ideas
Investigating the Relationship between Air Pollution and Health Outcomes in Rural and Metropolitan Areas
This project would involve obtaining publicly available data on air pollution levels and health outcomes (ie hospital admissions for respiratory illnesses, mortality rates, lung cancer prevelance/incidence, etc). The student could then analyze the data to determine if there is a correlation between air pollution levels and negative health outcomes. The student could also explore the potential impact of factors such as socioeconomic status, age, or sex/gender on the relationship between air pollution and health outcomes. The student could then summarize this on a poster, write up the results, and present their findings at a conference or virtually.