Judy Wawira Gichoya
| Judy Wawira Gichoya | |
|---|---|
| Born | |
| 🎓 Alma mater | Moi University (MBChB) |
| 💼 Occupation | |
| 🌐 Website | hitilab |
Judy Gichoya is an assistant professor of radiology & imaging sciences at Emory University where she studies how technology is used during care provision, focusing on how machine learning algorithms fail when deployed in real life settings, curating diverse datasets for AI, and training the next generation of data scientists.[1][2]
Early Life and Career
Gichoya was born in Nairobi, Kenya, and spent her early years there before moving to Kirinyaga County. After attending several schools, she earned her KCPE at St. Patrick Hill School and her KCSE at Kyeni Girls High School, where she was one of the top 100 students in her cohort. She then went on to earn CPA and IMIS qualifications at Strathmore University before completing her MBChB degree at Moi University in 2009.
After a one-year medical internship at Kiambu County Referral Hospital (formerly Kiambu District Hospital), Gichoya became a visiting fellow at the Regenstrief Institute, Indiana University, where she earned her MS in Health Informatics. She later returned to Kenya and worked at AMPATH for one year before returning to the United States to pursue a Diagnostic Radiology residency at Indiana University. She further honed her skills by completing a fellowship in Interventional Radiology at the Dotter Institute, situated at the Oregon Health & Science University.
She is now faculty at the Department of Radiology and Imaging Sciences at Emory University, as an assistant professor.
Research Interests
Her interest in computers started during her time at Kyeni Girls High School, where she switched subjects from agriculture to computer studies. Despite having limited resources, including only ten computers and a teacher who taught at multiple schools, she filled in the gaps and became proficient in using computers. Her first programming language was Pascal. During her time at Strathmore University, she taught herself how to assemble computer hardware.
While pursuing her medical degree at Moi University, Gichoya noticed the inefficiencies in healthcare during her clinical years. This sparked her interest in developing medical records systems for patient care, and connected her to a group of open source developers who were working on OpenMRS, the largest open source medical records system used around the world. Her first project (which also catapulted her into being an effective mentor) was in Kibera, an urban slum, at the Justin Jinich clinic working with Peter Okoth, one of her first mentees.
Notable Publications
- Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement[3]
- AI recognition of patient race in medical imaging: a modelling study[4]
- Equity in essence: a call for operationalising fairness in machine learning for healthcare[5]
Honors and Awards
- NIH Director's Award Winner - 2022[6]
- Aunt Minnie Most Influential Radiology Researcher - 2021[7]
- RADXX Rising Star in Informatics - RSNA meeting - 2017
- Roger A. Bauman Award - Best Student Paper - SIIM - 2016
- Best Hackathon Project - SIIM Annual Meeting - 2015
- Young Alumni Award - Indiana University Purdue University School of Informatics - 2015
- Distinguished Poster Award - 14th World Congress on Medical and Health Informatics - 2013
- Best of AMIA Annual Meeting - Public Health Informatics and Biosurveillance - 2012
- Google Anita Borg Award - Excellence in Computing for Women - 2012
Personal Life
Gichoya is married and has one son.
References
- ↑ Simonite, Tom (2021-08-05). "These Algorithms Look at X-Rays—and Somehow Detect Your Race". wired.com. WIRED. Retrieved 2023-01-01.
- ↑ Feathers, Todd (2021-08-23). "AI Can Guess Your Race Based On X-Rays, and Researchers Don't Know How". vice.com. Vice. Retrieved 2023-01-01.
- ↑ Geis, J. Raymond; Brady, Adrian P.; Wu, Carol C.; Spencer, Jack; Ranschaert, Erik; Jaremko, Jacob L.; Langer, Steve G.; Borondy Kitts, Andrea; Birch, Judy; Shields, William F.; van den Hoven van Genderen, Robert; Kotter, Elmar; Wawira Gichoya, Judy; Cook, Tessa S.; Morgan, Matthew B. (November 2019). "Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement". Radiology. 293 (2): 436–440. doi:10.1148/radiol.2019191586. ISSN 0033-8419.
- ↑ Gichoya, Judy Wawira; Banerjee, Imon; Bhimireddy, Ananth Reddy; Burns, John L.; Celi, Leo Anthony; Chen, Li-Ching; Correa, Ramon; Dullerud, Natalie; Ghassemi, Marzyeh; Huang, Shih-Cheng; Kuo, Po-Chih; Lungren, Matthew P.; Palmer, Lyle J.; Price, Brandon J.; Purkayastha, Saptarshi (2022-06-01). "AI recognition of patient race in medical imaging: a modelling study". The Lancet Digital Health. 4 (6): e406–e414. doi:10.1016/S2589-7500(22)00063-2. ISSN 2589-7500. PMC 9650160 Check
|pmc=value (help). PMID 35568690 Check|pmid=value (help). - ↑ Gichoya, Judy Wawira; McCoy, Liam G.; Celi, Leo Anthony; Ghassemi, Marzyeh (2021-04-01). "Equity in essence: a call for operationalising fairness in machine learning for healthcare". BMJ Health & Care Informatics. 28 (1): e100289. doi:10.1136/bmjhci-2020-100289. ISSN 2632-1009. PMC 8733939 Check
|pmc=value (help). PMID 33910923 Check|pmid=value (help). - ↑ "2022 Award Winner Judy Gichoya | NIH Director's Awards". directorsawards.hr.nih.gov. Retrieved 2023-03-28.
- ↑ "Minnies winners through the years". AuntMinnie.com. Retrieved 2023-03-28.
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