Lauren Wilcox

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

Lauren G. Wilcox (Lauren G. Wilcox-Patterson) is an American professor and researcher in responsible AI, human–computer interaction, and health informatics, known for research on enabling community participation in technology design and development [1] and her prior contributions to health informatics systems.[2][3][4][5][6]

Education[edit]

Wilcox earned her Ph.D. in Computer Science from Columbia University in 2013,[5] collaborating closely with graduate students and faculty in the Department of Biomedical Informatics and the Columbia University Irving Medical Center.[7] 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.[8][9]

Career[edit]

Prior to her research career, Wilcox was a Staff Software Engineer at IBM in Austin, Texas and was recognized as an Early Tenure Inventor.[8] 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.[10]

She is a Senior Staff Research Scientist and Group Manager in Responsible AI and Human-Centered Technology at Google.[11] She directed the Health Experience and Applications Lab at Georgia Tech.[12] At Georgia Tech, Wilcox 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.[3][13] 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.[7][14]

Wilcox was an inaugural member of the ACM Future of Computing Academy (ACM FCA)[15] 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.[16][17][18] 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.[19][20]

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.[21][22][23][24]

External links[edit]

References[edit]

  1. ^ Cooper, Ned; Horne, Tiffanie; Hayes, Gillian R.; Heldreth, Courtney; Lahav, Michal; Holbrook, Jess; Wilcox, Lauren (2022). "A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research". CHI Conference on Human Factors in Computing Systems. pp. 1–18. doi:10.1145/3491102.3517716. ISBN 9781450391573. S2CID 248419416. Retrieved 2023-04-07.
  2. ^ "Infrastructuring Care: How Trans and Non-Binary People Meet Health and Well-Being Needs through Technology". ACM CHI 2023 Conference Program. Retrieved 2023-04-07.
  3. ^ a b "NSF Award Search: Award#1652302 - CAREER: Adaptive, Collaborative User Interfaces for Chronically Ill Adolescents' Personal Data Management". www.nsf.gov. Retrieved 2020-07-12.
  4. ^ "Patient-Friendly Medical Information Displays". Microsoft Research. Retrieved 2020-07-12.
  5. ^ a b Wilcox-Patterson, Lauren (2013). Columbia Academic Commons - 2013 Doctoral Theses. Columbia Academic Commons (Thesis). doi:10.7916/D8N01DVG. Retrieved 2020-07-12."AHRQ's Health Services Research Dissertation Grant Program: New Starts, Fiscal Year 2012". Agency for Healthcare Research and Quality. Retrieved 2020-07-12.
  6. ^ "Health Experience and Applications Lab". Georgia Tech. Retrieved 2020-07-12.
  7. ^ a b "Lauren G. Wilcox's Google Scholar Page". Retrieved 2023-09-07.
  8. ^ a b "Lauren G. Wilcox, PhD - CV". Retrieved 2023-09-07.
  9. ^ "Program Notes: Graduate Alumni". Magazine. 2018-03-21. Retrieved 2022-08-14.
  10. ^ "Hx Lab News". April 7, 2020. Retrieved 2023-09-07.
  11. ^ "Responsible AI at Google Research: Technology, AI, Society and Culture". Google Research. Retrieved 2023-04-07.
  12. ^ "Health Experience and Applications Lab - People".
  13. ^ "Lauren Wilcox, Designing for teens' and young adults' engagement with digital health". Stanford Human-Computer Interaction Seminar. Retrieved July 12, 2020.
  14. ^ "IC Researchers Utilizing OMSCS as Test Bed for Wearable Tech in Online Learning". Georgia Tech GVU Center. Retrieved 2020-07-12.
  15. ^ "Goodbye, FCA!". Medium. Retrieved 2023-09-07. "Annual Report of the ACM Future of Computing Academy, September 2018" (PDF). ACM. Retrieved 2023-09-07.
  16. ^ "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.
  17. ^ Metz, Cade (October 22, 2018). "Efforts to Acknowledge the Risks of New A.I. Technology". The New York Times. Retrieved July 12, 2020.
  18. ^ 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/publication/ai-now-2019-report-2
  19. ^ "Papers: Special Note on Broader Impact". ACM 2019 Conference on Designing Interactive Systems. Retrieved 2020-07-12.
  20. ^ "NeurIPS 2020 - Call for Papers". NeurIPS 2020: Thirty-fourth Conference on Neural Information Processing Systems. Retrieved 2020-07-12.
  21. ^ Beede, Emma; Baylor, Elizabeth; Hersch, Fred; Iurchenko, Anna; Wilcox, Lauren; Ruamviboonsuk, Paisan; Vardoulakis, Laura M. (2020). "A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy". Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. pp. 1–12. doi:10.1145/3313831.3376718. ISBN 9781450367080. S2CID 213644599. Retrieved 2020-07-12.
  22. ^ Beede, Emma (April 25, 2020). "Healthcare AI systems that put people at the center". The Keyword. Retrieved 2020-07-12.
  23. ^ 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.
  24. ^ 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.
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