COVID-19 (coronavirus)

Lab Members

Sherry Casanova, MNA
Program Manager

Sherry Casanova, MNA, earned her bachelor’s degree in mathematics from Wake Forest University and a master’s degree in nonprofit administration from the University of Notre Dame. She is responsible for the management and planning of all administrative and financial operations for our team of engineers, scientists, research and administrative staff. She also oversees all research operations and administration of federal and industry grants.

Aditya Killekar, MS
Programmer/Analyst

Aditya Killekar, MS, earned his master’s degree in electrical engineering from the University of Southern California. He specializes in computer vision and machine learning. Before joining the Slomka Laboratory, Killekar worked as a research programmer at the Information Sciences Institute (ISI) at USC. He implemented deep learning-based methods for detecting deepfake face manipulations for DARPA’s media forensics project at ISI’s Center for Vision, Image, Speech and Text Analytics. Currently, he is working on developing a deep learning-based, real-time detection and segmentation of COVID-19 lesions on noncontrast chest CT, providing an early alert of COVID-19 to the physician and technologist performing the scan.

Jacek Kwiecinski, MD, PhD
Consulting Researcher

Jacek Kwiecinski, MD, PhD, earned his medical degree (Hons) from the Poznan University of Medical Sciences, Poland. He joined the Centre for Cardiovascular Sciences, University of Edinburgh, U.K., to work on noninvasive biomarkers of left ventricular decompensation in aortic stenosis. Recently, he explored the potential of coronary 18F-NaF PET imaging in vulnerable plaque patients.

Joanna Liang, BA
Research Administrative Coordinator

Joanna Liang earned her bachelor’s degree in psychology and a minor in natural sciences from the University of Southern California. She coordinates division academic operations, including pre- and post-award activities for all sponsored research projects, submission of grant applications, and editorial assistance for publications. She also acts as research coordinator for the cardiac imaging registry developed under Slomka’s NIH grant.

Richard Rios Patino, PhD
Postdoctoral Scientist

Richard Rios Patino, PhD, earned his doctorate in engineering energy systems from the National University of Colombia, Medellin, and in signal processing and telecommunications from the University of Rennes I in France. His doctorate studies focused on statistical modeling of geometric variations of the bladder in prostate cancer radiotherapy using dimensionality reduction and statistical learning techniques. His research aim is to develop learning-based methods that support decision-making of clinicians in the diagnosis and prognosis for cardiac diseases.

Konrad Pieszko, MD, PhD
Visiting Postdoctoral Scientist

Konrad Pieszko earned his medical degree from Wroclaw Medical University. He is a cardiology resident at the Nowa Sol Multidisciplinary Hospital in Poland and received a scholarship from the Polish National Agency for Academic Exchange for a scientific visit at Cedars-Sinai. In the Slomka Laboratory, he is working on applying machine-learning methods to cardiac imaging data in order to automate the analysis and improve the prediction of outcomes of cardiovascular diseases.

Aakash Shanbhag, MS
Programmer/Analyst

Aakash Shanbhag, MS, earned his master’s degree in electrical engineering from the University of Southern California. He specializes in computer vision and deep learning. Before joining the Slomka Lab, he worked as a computer vision engineer at the USC Institute for Creative Technologies (ICT) under Hao Li, MD. He implemented state- of-the-art generative adversarial networks, image synthesis methods for photo-realistic digital avatar generation, neural rendering for army research, segmentation and real-time dynamic occlusion handling collaborating with Snap Inc. Currently, he is working on developing a deep learning-based, real-time detection and automatic segmentation of coronary calcium from noncontrast CT.

Ananya Singh, MS
Programmer/Analyst

Ananya Singh earned her master's degree in electrical engineering from the University of Southern California. She specializes in image processing and deep learning in medical imaging. She is currently working on integrating deep convolutional neural networks to further automate cardiovascular imaging.

Contact the Slomka Lab

8700 Beverly Blvd.
Suite Metro 203
Los Angeles, CA 90048