Lauren Wilcox

Lauren G. Wilcox (Lauren G. Wilcox-Patterson) is an American professor and researcher in human–computer interaction and health informatics, known for creating computing systems that enable patient participation in health care as well as patient and family member participation in the technology design process.[1][2][3][4][5]

Lauren G. Wilcox
Born
New York City
NationalityAmerican
Other namesLauren Wilcox-Patterson
Citizenship United States
Alma materColumbia University
Known forHuman-Computer Interaction, Health Informatics
Scientific career
FieldsComputer Science
InstitutionsGeorgia Tech, Google, Columbia University, Microsoft Research, IBM Research
ThesisUser Interfaces for Patient-Centered Communication of Health Status and Care Progress (2013)
Doctoral advisorSteven K. Feiner

Education

Wilcox earned her Ph.D. in Computer Science from Columbia University in 2013,[3] collaborating closely with graduate students and faculty in the Department of Biomedical Informatics and the Columbia University Irving Medical Center.[6] She holds a B.S. and an M.S. in Computer Science, both from Columbia University, which she earned before returning for her Ph.D.[7]

Career

Prior to her research career, Wilcox was a Staff Software Engineer at IBM in Austin, Texas and was recognized as an Early Tenure Inventor.[7] After completing her Ph.D., Wilcox joined the Georgia Institute of Technology School of Interactive Computing and was promoted to associate professor with tenure in April 2020.[8] She directs the Health Experience and Applications Lab at Georgia Tech.[9] At Georgia Tech, Wilcox has expanded her research scope to focus on how computing technology can meet the health needs of adolescents, including adolescent chronic condition management and adolescent health data privacy.[1][10] She has also contributed foundational studies on how computing systems can support mental well-being, and the consideration of human well-being as an integral part of technology design.[6][11]

Wilcox was an inaugural member of the ACM Future of Computing Academy (ACM FCA)[12] and co-authored an ACM FCA blog post in 2018, urging the computing research community to leverage the peer review process to identify and address the broader impacts of computing advancements on society.[13][14][15][16] Since the publication of the blog post, there have been examples of computing conferences requiring authors to submit statements on the broader impacts of their contributions.[17][18]

Wilcox joined Google in 2019, where she contributed to one of the first published studies examining the use of a deep learning-based AI system in patient care.[19][20][21][22] In 2020, she held a research leadership position in the Wellbeing Lab at Google.[23]

Personal

Wilcox was born in New York City, but spent most of her childhood years in the Detroit metropolitan area. Before moving back to New York City for college, she played bass guitar in The Von Bondies. She is married to Richard Patterson.

gollark: 1.00000612.
gollark: It might require some research to keep the semiconductor things working when gaseous.
gollark: Yes. Convert your LEDs to gas. This is ethical.
gollark: You don't light your room with a giant wall of OLED screens salvaged from phones?
gollark: Or arbitrary.

References
  1. "NSF Award Search: Award#1652302 - CAREER: Adaptive, Collaborative User Interfaces for Chronically Ill Adolescents' Personal Data Management". www.nsf.gov. Retrieved 2020-07-12.
  2. "Patient-Friendly Medical Information Displays". Microsoft Research. Retrieved 2020-07-12.
  3. "Columbia Academic Commons - 2013 Doctoral Theses". Columbia Academic Commons. Retrieved 2020-07-12.
  4. "AHRQ's Health Services Research Dissertation Grant Program: New Starts, Fiscal Year 2012". Agency for Healthcare Research and Quality. Retrieved 2020-07-12.
  5. "Health Experience and Applications Lab". Georgia Tech. Retrieved 2020-07-12.
  6. "Lauren G. Wilcox's Google Scholar Page". Retrieved 2020-07-12.
  7. "Lauren G. Wilcox, PhD - CV". Retrieved 2020-07-12.
  8. "From the Dean's Desk". April 7, 2020. Retrieved 2020-07-12.
  9. "Health Experience and Applications Lab - People".
  10. "Lauren Wilcox, Designing for teens' and young adults' engagement with digital health". Stanford Human-Computer Interaction Seminar. Retrieved July 12, 2020.
  11. "IC Researchers Utilizing OMSCS as Test Bed for Wearable Tech in Online Learning". Georgia Tech GVU Center. Retrieved 2020-07-12.
  12. "Alumni of the Future of Computing Academy". ACM Future of Computing Academy. Retrieved 2020-07-12.
  13. "It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process". ACM Future of Computing Academy. Retrieved 2020-07-12.
  14. "ACM Working Group Argues For Change to Peer Review Process to Mitigate Negative "Side Effects" to Computing". Georgia Tech School of Interactive Computing. Retrieved 2020-07-12.
  15. Metz, Cade (October 22, 2018). "Efforts to Acknowledge the Risks of New A.I. Technology". The New York Times. Retrieved July 12, 2020.
  16. Crawford, Kate, Roel Dobbe, Theodora Dryer, Genevieve Fried, Ben Green, Elizabeth Kaziunas, Amba Kak, Varoon Mathur, Erin McElroy, Andrea Nill Sánchez, Deborah Raji, Joy Lisi Rankin, Rashida Richardson, Jason Schultz, Sarah Myers West, and Meredith Whittaker. AI Now 2019 Report. New York: AI Now Institute, 2019, https://ainowinstitute.org/AI_Now_2019_Report.html
  17. "Papers: Special Note on Broader Impact". ACM 2019 Conference on Designing Interactive Systems. Retrieved 2020-07-12.
  18. "NeurIPS 2020 - Call for Papers". NeurIPS 2020: Thirty-fourth Conference on Neural Information Processing Systems. Retrieved 2020-07-12.
  19. "A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy". ACM Digital Library: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Retrieved 2020-07-12.
  20. Beede, Emma (April 25, 2020). "Healthcare AI systems that put people at the center". The Keyword. Retrieved 2020-07-12.
  21. Talby, David (Jun 9, 2020). "Three Insights From Google's 'Failed' Field Test To Use AI For Medical Diagnosis". Forbes: Technology Council. Retrieved July 12, 2020.
  22. Heaven, Will Douglas (April 27, 2020). "Google's medical AI was super accurate in a lab. Real life was a different story". MIT Technology Review. Retrieved July 12, 2020.
  23. "People: Lauren Wilcox". Google Research. Retrieved 2020-07-12.
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