Ramina Ghods

Ramina Ghods is a Staff Machine Learning Researcher at Spren (Elite HRV) since October 2021, focusing on computer vision analysis related to heart rate variability, achieving significant advancements in accuracy, conducting subpopulation analysis, and developing predictive models. Prior experience includes roles as a Senior Machine Learning Researcher and Postdoctoral Fellow at Carnegie Mellon University School of Computer Science, where Ramina engaged in various machine learning projects and contributed to a blog on the subject. Ramina's academic background includes a PhD in Electrical and Computer Engineering from Cornell University and postdoctoral work at Carnegie Mellon University, with research spanning topics such as Bayesian Gaussian processes, neural network optimization, and EEG trajectory estimation. Additional experience includes internships at Qualcomm and BESTCO, as well as teaching and counseling at Farzanegan High School.