Rene Vidal, Johns Hopkins University
Oct 2 @ 11:00 am – 12:00 pm

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“Blood Cell Reconstruction, Detection, Counting and Classification in Holographic Images”

Dr. Rene Vidal is the Herschel Seder Professor of Biomedical Engineering and the Inaugural Director of the Mathematical Institute for Data Science at The Johns Hopkins University. He has secondary appointments in Computer Science, Electrical and Computer Engineering, and Mechanical Engineering. He is also a faculty member in the Center for Imaging Science (CIS), the Institute for Computational Medicine (ICM) and the Laboratory for Computational Sensing and Robotics (LCSR). Vidal’s research focuses on the development of theory and algorithms for the analysis of complex high-dimensional datasets such as images, videos, time-series and biomedical data. His current major research focus is understanding the mathematical foundations of deep learning and its applications in computer vision and biomedical data science. His lab has pioneered the development of methods for dimensionality reduction and clustering, such as Generalized Principal Component Analysis and Sparse Subspace Clustering, and their applications to face recognition, object recognition, motion segmentation and action recognition. His lab creates new technologies for a variety of biomedical applications, including detection, classification and tracking of blood cells in holographic images, classification of embryonic cardio-myocytes in optical images, and assessment of surgical skill in surgical videos.


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“Blood Cell Reconstruction, Detection, Counting and Classification in Holographic Images”

Even in patients with inherited genetic mutations such as channelopathies that pre-dispose them to triggered arrhythmias, arrhythmic events in the heart are highly infrequent, occurring occasionally over the course of billions of heartbeats. However, when the functional effects of these genetic mutations are incorporated into today’s computational models of cardiac cells and tissues, they often predict arrhythmias on nearly every heartbeat. This suggests that there is something fundamentally different about the origins of triggered arrhythmias in real hearts versus models. We consider a certain class of triggered arrhythmias that arise from disturbances in calcium within the cell and hypothesize that these arrhythmias are examples of stochastic rare events. Their stochastic origin results from several interacting factors. The first is governed by the biophysical reality that ion channels controlling myocyte membrane depolarization open and close in a random manner, making the occurrence of a triggered arrhythmic event within a single cell stochastic. The second is governed by the degree of electrical coupling between neighboring myocytes. Due to this electrical coupling, a randomly occurring arrhythmic event in one cell cannot produce a sufficient flow of current into neighboring cells to electrically excite them. Rather, a critical number of nearby cells must undergo these random events in sufficient synchrony that, together, they electrically excite their neighbors. This need for synchrony across a critical number of cells makes triggered arrhythmias in cardiac muscle tissue rare. In this talk we will describe our approach to using stochastic models of cardiac myocytes to study the origins of stochastic arrhythmias in cells and tissue, including approaches for estimating how the probabilities of arrhythmic events depend on underlying cell properties, an approach we call “arrhythmia sensitivity analysis”.


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Rising Stars: Women 2018 Workshop
Nov 15 – Nov 16 all-day

This Rising Stars in Biomedical career development workshop aims to bring together top female postdocs and senior graduate students whose research focuses on biomedical applications. The program includes technical talks, panels and discussions with faculty, researchers from Boston area clinical labs and industry. The goal is to provide mentoring and support for top junior researchers as they transition to the next phase of their career, and to enable them to form connections with their cohort of investigators in different areas of biomedical research.

Participants will be announced soon.


(Subject to change)

Wednesday, November 14

7:00pm-8:30pm – Reception for Early Arrivers

Thursday, November 15

8:30am-9:00am      Continental Breakfast
9:00am-12:00pm    Impact Session 1 (with break)
12:00pm-1:00pm    Lunch
1:00pm-4:00pm      Impact Session 2 (with break)
4:00pm-4:30pm      Junior Career Panel
4:30pm-5:00pm      Senior Career Panel
5:00pm-6:00pm      Break
6:00pm-9:00pm      Dinner at McCormick & Schmick, Inner Harbor, Baltimore

Friday, November 16

8:30am-9:30am      Breakfast with JHU & MIT faculty
9:00am-12:30pm    Consultant Session (with break)
12:30pm-1:30pm     Lunch
2:00pm-3:00pm      “How to Get a Job”
3:00pm-4:00pm     Closing Social

JHU - Institute for Computational Medicine