The Malone Center Faculty Fellows program is to provide support for junior faculty who are, in return, expected to play a role in the center research and education mission.
Fellows receive $50,000 in funding from the Malone Center. These funds may be used for salary support and research costs relevant to directions and collaborations in line with the missions of the Malone Center.
Alejandro Martin-Gomez is an assistant research professor in the Department of Computer Science and a member of the Laboratory for Computational Sensing and Robotics (LCSR). His research interests include the study of fundamental concepts of visual perception and their transferability to medical applications that involve using augmented and virtual reality.
His work has been published in some of the most prestigious journals and at conferences in these fields, including at the IEEE International Symposium on Mixed and Augmented Reality, at the IEEE Conference on Virtual Reality and 3D User Interfaces, and in IEEE Transactions on Visualization and Computer Graphics. He also has served as a mentor and adviser to several students and scholars at the Technical University of Munich, Johns Hopkins University, and more recently, at the Friedrich-Alexander University of Erlangen-Nürnberg. In addition, he is involved in professional editorial activities and has been a program committee member for the International Symposium on Mixed and Augmented Reality in 2016, 2018, and 2021.
Before joining Johns Hopkins, Martin-Gomez completed his PhD in computer science at the Technical University of Munich, from which he graduated summa cum laude.
Casey Overby Taylor is an assistant professor of medicine and biomedical engineering at Johns Hopkins University.
As a Malone Fellow, Overby Taylor taught the Malone Center undergraduate course, “Developing Health IT Applications.”
Overby Taylor’s research draws from biomedical informatics and the related field of biomedical data science, to address the challenge of how to incorporate technology and digital approaches into clinical research and healthcare practices. She also draws from comparative effectiveness research approaches, including experience with conceptualizing and measuring implementation outcomes, to study the use of clinical decision support as a strategy to improve the adoption of clinically actionable guidance.
Prior to joining Hopkins, Overby Taylor was assistant professor in University of Maryland’s Program for Personalized and Genomic Medicine. She holds a BS from University of Michigan, an MS from University of Pennsylvania, and a PhD from University of Washington School of Medicine.
Mathias Unberath is currently an Assistant Professor in the Department of Computer Science at Johns Hopkins University. He is affiliated with the Laboratory for Computational Sensing and Robotics and the Malone Center for Engineering in Healthcare.
As a Malone Fellow, Mathias led the development of several artifiicial intelligence (AI) initiatives and collaborations.
Mathias’ research consolidates efforts in computer vision, medical physics, and medicine to develop surgeon-centric, end-to-end computer-assisted solutions for image-guided surgery. Currently, he is particularly interested in advancing interventional image processing to tailor image acquisition and augmented reality environments to the clinical task.
He holds a BSc in Physics, a MSc in Optical Technologies, and a PhD in Computer Science from the Friedrich-Alexander-Universität Erlangen-Nürnberg from which he graduated summa cum laude in 2017. He was an ERASMUS scholar at the University of Eastern Finland in 2011 and DAAD fellow at Stanford University throughout 2014.