Anu Iyer, a Georgia Tech Dean’s Scholar, published her first research article as a first-year student — based on research conducted while she was in high school. She is the lead co-author of the paper published in Scientific Reports, a Nature Portfolio journal.
Iyer, now a second-year undergraduate majoring in biology with a pre-med focus, worked with researchers at the University of Arkansas for Medical Sciences (UAMS) to develop a novel voice-based diagnostic tool for Parkinson’s disease (PD).
“Essentially, we proved the feasibility of a telemedicine approach towards detecting PD,” says Iyer. “Through a three-second phone call, our machine-learning model recognizes patterns in data to detect Parkinson’s with a 97 percent accuracy rate.”
Iyer states that additional strengths of the project include the potential for detecting PD at an early stage, leading to improved treatment outcomes, and the practical benefits of a virtual diagnostic tool.
“Parkinson’s disease is a nervous system disorder that primarily affects the elderly population, and one of the many issues with detection is that symptoms must be analyzed in person,” explains Iyer. “In Arkansas, 75 percent of our population resides in medically underserved areas — it can be hard for them to access health facilities. Our research addresses the need for convenient detection via telemedicine.”
From science fairs to academic researcher
Iyer’s teachers at her STEM middle school encouraged her passion for science and discovery. A science fair enthusiast, Iyer led a sixth-grade team to win the state title for the Verizon Innovative Learning app, creating a smartphone app that turns off text notifications when a car reaches more than five miles per hour.
Iyer credits her middle school teachers for inspiring her to seek answers beyond what she found in her textbooks. During the summer between eighth and ninth grade, Iyer watched YouTube videos to teach herself machine learning, appreciating the opportunity to use artificial intelligence to analyze data and make predictions.
“Machine learning fascinates me because it holds so much potential,” says Iyer. “I've always been interested in computer science, but machine learning opened my eyes to new possibilities and taught me that I can pay it forward through applied bioinformatics.”
In ninth grade, she emailed UAMS professors with a research idea incorporating medicine and computer science. Her outreach led to a post as an undergraduate researcher, helping create a computer algorithm to detect eye disease. While working on a diagnostic AI model for malignancy, she began collaborating with Fred Prior, the chair of Bioinformatics at UAMS, who became a valued mentor.
“Dr. Prior introduced me to the joys of research and how small changes can make a big difference in our world,” says Iyer.
Prior assigned her to the team focusing on Parkinson’s in her 11th grade year — and she soon began taking on more of an active leadership role in the research. She spent the rest of high school juggling coursework with constructing code and drafting proposals to create the computer algorithm capable of detecting PD.
Progress and service
Iyer’s desire to improve the world through research led her to Georgia Tech.
“One thing that spoke to me is the Progress and Service motto,” says Iyer. “My career goals include becoming an empathetic researcher focused on reducing healthcare disparities. Specifically, I hope to specialize in developing diagnostic tools that are affordable and available for underserved areas.”
As lead co-author of the PD research study, Iyer spent much of her first year working with Prior and UAMS, participating in Zoom calls every Saturday. As a second-year, Iyer intends to continue working with UAMS on PD and machine-learning research. She has also taken on a new role as multiple principal investigator for a study related to chronic back pain management.
Lainie Pomerleau, who taught Iyer’s first-year English course, and is now an assistant professor of English at the College of Coastal Georgia, helped Iyer prepare the PD paper for publication. “Anu embodies Georgia Tech's mission to develop leaders who advance technology to improve the human condition,” says Pomerleau.
Despite her busy schedule, Iyer has immersed herself in the Georgia Tech community. She loves the climbing wall at the Campus Recreation Center and points to Cognitive Psychology as her favorite class. Iyer considers Explore, the science-centered living and learning community, to be one of the highlights of her first year.
“I really enjoyed being a part of Explore, living with other students who prioritize science,” says Iyer. “It was easy to make friends because we all had similar classes.”
In the spring of her first year, she was selected as a College of Sciences Ambassador, accompanying prospective students and their parents to science-related courses and answering their questions about campus life.
She plans to get more involved with researchers at Georgia Tech.
“I am a biology major, but one amazing thing about Georgia Tech is that there is a lot of encouragement to join labs outside of your major and pursue your interests,” says Iyer. “I’d like to work in a Georgia Tech lab, particularly in neurology.”
Looking forward to her next few years at the Institute, she’s excited about the possibilities ahead:
“Georgia Tech is well known for groundbreaking research,” she says. “I want to take advantage of Tech’s many opportunities — and fulfill my ultimate goal of making a positive impact in the world.”
