Sylmarie Dávila-Montero

Sylmarie obtained her B.S. in Electrical Engineering with a specialty in Digital Signal Processing and a minor in Applied Mathematics from the University of Puerto Rico at Mayagüez in May 2015. In the summer of 2014, while pursuing her undergraduate degree, she participated in the Summer Research Opportunities Program (SROP) at MSU, where she had the opportunity to work in our lab. Her research was focused on the evaluation of the quality of wavelet compressed neural signals based on spike sorting performance. In September 2015, she officially joined our group as a student of the PhD program in Electrical and Computer Engineering. Her current research focus is on efficient biomedical signal processing and machine learning algorithms for the next generation of human-computer interfaces. Her areas of application are centered in the improvement of human behavior awareness and social interactions. She has worked in the processing of a variety of sensor signals, including audio signals and physiological signals. 

Sylmarie is a 2015 GEM fellow, 2015 MSU University Distinguished fellow, 2015-2016 MSU BEST trainee, member of the MSU AGEP community, 2017 NSF GRFP Fellow, and 2018 & 2019 NSF GRIP Awardee.

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