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Fernando Sebastián Chiwo González

Post-doctoral fellow

Department of Neurosurgery

University of Texas Medical Branch

&

Visiting Scientist (start date 5/1/2025)

Department of Electrical and Computer Engineering

Rice University


ROLE:

Optical Engineer, LENS COLLABORATIVE


TRAINING:

BSc, Electronics Engineering with a Major in 

Control Systems and Instrumentation, Autonomous University of San Luis Potosi, 2013


MSc, Electronics Engineering with a Major in 

Bioelectronics, Autonomous University of San Luis Potosi, 2013


PhD, Applied Sciences with a Major in Biomedical Optics, Autonomous University of San Luis Potosi, 2022


Post-Doctoral Researcher, Florida International 

University, 2023-2025

BIOGRAPHY:

Dr. Chiwo received his B.Sc., M.Sc., and Ph.D. from the Autonomous University of San Luis Potosi, S.L.P., Mexico. During his graduate studies, he was part of the Terahertz Science and Technology National Laboratory (LANCYTT) from the Coordination for the Innovation of Science and Technology, where he specialized in Biomedical Spectroscopy and Imaging technologies for non-invasive medical diagnosis and dermatologic treatment assessment. From 2022-2023, Dr. Chiwo was an Associate Researcher at Centro de Tecnología Avanzada (CIATEQ), where he worked with advanced data analysis techniques for failure prediction and control parameters op:mization for automotive plastic parts manufacturing by injection molding process. For his work during this tenure, he was accepted as an entry-level member of the Na:onal Researchers System (SNI) from the Secretaría de Ciencia, Humanidades, Tecnología e Innovación (SECIHTI), Mexico. During his postdoctoral training at the Optical Imaging Laboratory at Florida International University, he worked with the instrumentation and data processing/analysis of op:cal-thermal imaging technologies to assess the healing conditions of diabetic foot ulcers. His research interests are biomedical spectroscopy and imaging techniques, op:cal-electrical instrumentation, light-tissue interactions modeling, and data science

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