Dr. Halie Rando is an information scientist who is interested in identifying new opportunities to use computer science and data science to critically examine our approach to biomedical research. Right now, she is particularly interested in non-traditional animal models and veterinary medicine.
Dr. Rando received her PhD in Informatics from the University of Illinois at Urbana-Champaign in 2019, where she worked with Dr. Anna Kukekova to develop a bioinformatic perspective on the famous Russian Farm Fox Experiment, where foxes have been bred since the 1950s to show extreme behaviors, including tame, dog-like behavior.
In 2020, she joined Dr. Casey Greene’s biological data science lab at the University of Pennsylvania and later the University of Colorado Anschutz Medical Campus. In Dr. Greene’s lab, Halie focused on adapting Manubot, software for collaborative writing, to support fast-moving projects related to COVID-19 and on evaluating the similarities and differences between various direct-to-consumer dog genetic tests.
At Smith, she is an Assistant Professor in the Department of Computer Science, where she teaches Data Structures (CSC 210) as well as upper-level coursework in databases (CSC 230), bioinformatic algorithms (CSC 258), and health AI (CSC 344bd).
Our lab gave several presentations at CCSC-NE, which was held this year here at Smith.
Exciting news: the lab had two abstracts accepted at the third annual Symposium on AI in Veterinary Medicine (SAVY3.0), which will be held at Cornell University in May.
