From 8912ead7356a28c2670c00fee8367e8efe7d14fa Mon Sep 17 00:00:00 2001 From: HM Rando Date: Sun, 12 Apr 2026 11:26:25 -0400 Subject: [PATCH 1/2] Update Halie Rando profile --- _members/halie_rando.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/_members/halie_rando.md b/_members/halie_rando.md index 09e8c99e..836c31df 100644 --- a/_members/halie_rando.md +++ b/_members/halie_rando.md @@ -5,13 +5,15 @@ role: pi aliases: - HM Rando - H Rando + - Halie M Rando + - Halie M. Rando links: home-page: https://vbilsmith.github.io orcid: 0000-0001-7688-1770 --- -Dr. Halie Rando is an informatician who is interested in identifying new opportunities to use computer science and data science to critically examine our approach to biomedical research. +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](https://publish.illinois.edu/kukekova-lab/) 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](https://www.greenelab.com) at the University of Pennsylvania and later the University of Colorado Anschutz Medical Campus. In Dr. Greene's lab, Halie focused on adapating 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) and health AI (CSC344bd). +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). From bdcd9a384c2fface59aed7c0881b4e06f3de820b Mon Sep 17 00:00:00 2001 From: HM Rando Date: Wed, 15 Apr 2026 22:07:21 -0400 Subject: [PATCH 2/2] Format Halie Rando bio paragraphs --- _members/halie_rando.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/_members/halie_rando.md b/_members/halie_rando.md index 836c31df..ae539640 100644 --- a/_members/halie_rando.md +++ b/_members/halie_rando.md @@ -12,8 +12,10 @@ links: orcid: 0000-0001-7688-1770 --- -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](https://publish.illinois.edu/kukekova-lab/) 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](https://www.greenelab.com) at the University of Pennsylvania and later the University of Colorado Anschutz Medical Campus. In Dr. Greene's lab, Halie focused on adapating 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). +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](https://publish.illinois.edu/kukekova-lab/) 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](https://www.greenelab.com) 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).