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X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
234631
20260413T101824Z
DTSTART;TZID=America/New_York:20260424T150000
DTEND;TZID=America/New_York:2
 0260424T155000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/ece-g
 raduate-seminar-lecture-series-speaker-antony-garcia-gonzalez-phd-candidat
 e-ece-department-wpi
ECE Graduate Seminar Lecture Series, Speaker: Antony Garcia Gonzalez, PhD C
 andidate, ECE Department, WPI
Title:\nMachine Learning, Biostatistics, and the Challenge of Evaluating AI
  Models in Healthcare\n\nAbstract:\nMy PhD research has taken place at the
  intersection of machine learning, biostatistics, and healthcare, where th
 e evaluation of AI models requires more than the reporting of predictive p
 erformance alone. In many healthcare applications, the central questions a
 re not limited to whether a model achieves good accuracy, but also to whet
 her its results are statistically sound, clinically meaningful, and aligne
 d with established research practices. In this talk, lessons drawn from wo
 rk in Alzheimer’s disease research using UK Biobank data, machine learni
 ng model development, and vision-based approaches for biomedical applicati
 ons will be presented. Attention will be given to the different ways in wh
 ich evidence is interpreted across these domains, including hypothesis tes
 ting, effect estimation, and statistical significance on one hand, and cla
 ssification, regression, and generalization performance on the other. More
  broadly, it will be argued that the evaluation of AI in healthcare requir
 es these perspectives to be bridged rather than treated as separate altern
 atives. These experiences will also be used to reflect on some of the cons
 iderations involved in developing machine learning methods for healthcare 
 settings.\n\n\n\nImage\n  \n\n\n\nSpeaker:\nAntony Garcia Gonzalez\nPhD Ca
 ndidate, ECE Department, WPI\n\nBio:\nAntony Garcia Gonzalez is a Ph.D. ca
 ndidate at Worcester Polytechnic Institute (WPI), where he is a member of 
 the ECE Embedded Computing Lab and conducts research under the supervision
  of Dr. Xinming Huang. He is a Fulbright scholar. He received his B.S. in 
 Electromechanical Engineering and his M.S. in Electrical Power Systems Eng
 ineering from the Technological University of Panama. He also serves as a 
 Research Associate in the Faculty of Electrical Engineering at the Technol
 ogical University of Panama. His research interests include machine learni
 ng, deep learning, and artificial intelligence, with a focus on healthcare
  applications, particularly Alzheimer’s disease research and skin cancer
  classification.\n\nHost: Professor Alex Wyglinski\n
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