Health Informatics - Talks


Watson Healthcare Informatics PIC Seminar Series


Watson HI PIC co-chairs: 


Pei-Yun (Sabrina) Hsueh ( & Amos Cahan (



Date Speaker Time & Location Title and additional info Link to Video Streaming, Slides and Replays
Jan. 22  (Friday)  Mudhakar Srivatsa (Watson) 10am (20-001)

Modeling Activities of Daily Living

Demultiplexing Activities of Daily Living in IoT enabled Smarthomes, In InfoCom 2016.
DAISY: A Derivative Inferencing System for Efficient Failure Management in IoT environments, submitted.

A system and method for Identifying failed IoT Sensors in Smart Homes using Correlation analysis of multiple sensor streams, filed
A System and Method for Utility based Sensor deployments in Smart Homes for Connected Health and Wellness applications, filed


Feb. 25 David Newman Toker (JHU) 11 am (20-001)  

The 5 Worst & 5 Best Ideas for Health Informatics to Improve Diagnostic Safety & Quality

March 4 Rong Chen (Mt Sinai) 11 am (20-043) Using big data to interpret genomes for diagnostics, therapeutics, and precision medicine
March 23

Artemis Simopoulos, MD, FACN

Founder and President, Center for Genetics, Nutrition and Health, Washington, DC

1pm (Auditorium) The omega-6/omega-3 ratio in the prevention and management of Obesity
March 31 Judith Klein-Seetharaman (University of Warwick) 11am (20-001) Molecular Motivators to Lifestyle Changes   
April 13 Chunhua Weng (Columbia University) 10am (20-001) Optimizing the Design and Conduct of Clinical Research with Informatics.
April 18 Hold for WH seminar 1-2:30pm (Auditorium) HealthKit and ResearchKit, the Evolution of the Apple Health Ecosystem  
April 21 Ty Ridenour PhD MPE, Developmental Behavioral Epidemiologist, Behavior and Urban Health Program, RTI 1pm (20-043)
Rigorous Within-person Analytics: Illustrations and Applications
May 9 Prof. Miguel Hernan from the Biostatistics Department at Harvard School of Public Health 11am (20-001)
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available
May 19   Corey Arnold (Assistant Professor in the Medical Imaging and Informatics group at the University of California - Los Angeles) 10:30-12pm (ThinkLab Theater)   Exploring Unstructured Biomedical Data using Topic Models  
 May 19  
Heng Luo (NuMedii, Inc.)
 1-2pm (03-235)  
Chemical-protein interactome and its application in drug development
May 20 Hanghang Tong (Assistant Professor, Arizona State University) 1-2pm (20-059) Inside the Atoms: Mining a Network of Networks and Beyond  
June 24

Prof. Riccardo Bellazzi

(University of Pavia, Italy)

10-11am (20-001) the implementation and the results obtained in two European projects, Mosaic and Mobiguide, dealing with Type 2 Diabetes and Atrial Fibrillation, respectively, and on the system implemented to support clinical research in Oncology at the Fondazione S. Maugeri hospital of Pavia.  
July 7 Mark L Graber 2-3pm 20-001
Diagnostic Error and Health IT

2015 Schedule:

Date Speaker Time & Location Title and additional info Link to Video Streaming, Slides and Replays
Apr 30

Patrick Ryan



YKT 20-043

An Open Science Approach to Medical Evidence Generation:  Introducing Observational Health Data Sciences and Informatics

Sr. Director and Head, Epidemiology Analytics

Janssen Research and Development



Slides for April 30 meeting

Link to video streaming:

Link to the replay of video streaming:

May 15 Noemie Elhadad

5.15 10:30

confirmed 5.6.15

Natural Language Processing to Support Clinicians at the Point of Care

Chair of Health Analytics Center, Data Science Institute

Associate Professor, the Department of Biomedical Informatics

Columbia University



Link to video streaming:

May 20 Jack Gallant




(as part of the Brain Day event)


Reverse-engineering the human brain with neuroimaging and big data

Jack L. Gallant, UC Berkeley

Co-hosted with Multimedia PIC


The livestream link will be here:

May 27 Veljko Milutinovic 5.27

DataFlow SuperComputing for BigData Analytics


Prof. Veljko Milutinovic, University of Belgrade, IEEE Fellow

DataFlow SuperComputing for BigData Analytics

Co-hosted with SuperComputing PIC
May 29 Zhaonan Sun 5.29

Multi-task Learning approach for Comprehensive Risk Prediction

Zhaonan Sun, Healthcare Analytics Group



Zhaonan Sun, Fei Wang, Jianying Hu. LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management. KDD 2015 (To Appear)

June 5 Werner Doyle





Neurosurgery: A Tool for Understanding and Altering the Human Nervous System to Sustain its Well being

Professor, NYU Langone Medical Center Neurosurgery Dept.

Neuromodulation for comprehensive epilepsy


ThinkFriday event

Co-hosted with Physics Science Seminar Series 

June 8 Harold Lehmann 12-1 20-001

The use of EHR data for clinical research: Experience of the PaTH Clinical Data Research Network

Professor and Interim Director, Division of Health Sciences Informatics

Johns Hopkins School of Medicine​

Link to video recording (apologies- for an unknown reason, only the first 15 minutes were recorded):

June 11 Sufi Zafar  

Dr. Sufi Zafar on Biosensors


July 28 Sally Okun




Speaker: Sally Okun, RN, MMHS

PatientsLikeMe: Harnessing the Power of Patient Voice

Established in 2004, PLM has been an early pioneer as a patient-powered research network. Today, over 350,000 members have reported their real-world experiences on more than 2,500 diseases, ranging from rare conditions such as amyotrophic lateral sclerosis (ALS) to more prevalent ones like depression, fibromyalgia, multiple sclerosis, and psoriasis.  Members create health profiles using clinically relevant and research-based data collection tools to monitor how they’re doing between doctor or hospital visits, document the severity of their symptoms, identify triggers, note how they are responding to new treatments, and track side effects.  Members connect with each other in various ways including Forum discussions, journal feeds and private messaging.

     This presentation will explore how patient voice, the missing link in health data, is driving a new era of discovery, research and care – one in which people can benefit in real time from the information they share while contributing to a new way of generating, measuring and aggregating health insights that can benefit each of us. 

Sept? Joel Saltz  

Head of Biomedical Informatics Department

Stony Brook University


Aug (First week) Professor John Rogers, UIUC Materials Science and Engineering   miniaturized flexible EEG and harvesting energy from the body  
Sep Mark Wightman  

Neuroscience and Analytical Chemistry Group

University of North Carolina at Chapel Hill


Microelectrodes and their use to probe complex chemical and biochemical phenomena


The Wightman Group develops and utilizes fast-scan cyclic voltammetric (FSCV) methods to monitor sub-second neurotransmission events in the brain. Very small microelectrodes coupled to rapid electrochemical monitoring enable spatially- and temporally-resolved measurements of phasic neurotransmitter release in tissue slice preparations, anaesthetized animals, and freely-moving, behaving animals.


Co-hosted with Physics Science Seminar Series 
Sep 30 Eric Karl Oermann, M.D.  

Title: Machine learning with medical data to predict future clinical states

Short Bio: Eric Karl Oermann is a houseofficer in the Department of Neurological Surgery at the Mount Sinai Health System. He received his undergraduate degree in mathematics from Georgetown University with a concentration in differential geometry. After spending time with the President's Council on Bioethics studying human dignity, he attended medical school at Georgetown University from 2008 to 2013. While a medical student, he won a grant from the American Brain Tumor Association (ABTA) to study the epigenetics of the IDH1 gene utilizing somatic cell gene targeting, and received a Doris Duke Foundation Fellowship to spend a year at UNC Chapel Hill studying glioma epigenetics and artificial neural networks. While a houseofficer, he was selected by Forbes Magazine as one of the 30 Under 30 in Healthcare. He has published over 30 peer reviewed articles on clinical neurosurgery, cancer epigenetics, machine learning, and bioethics. His clinical interests include stereotactic radiosurgery, functional neurosurgery, and tumors of the central nervous system, and his research interests include machine learning, deep learning, and mind-machine interfaces.

Host: Ping Chang (invited by Gustavo
Oct 26

Isaac Kohane

1-2 pm

YKT 20-001

also booked auditorium

Harvard Medical School

Henderson Professor of Pediatrics and Health Sciences and Technology
Co-Director Center for Biomedical Informatics Harvard Medical School
Director of the Francis A. Countway Library of Medicine


Dr. Kohane leads multiple collaborations at HMS and is hospital affiliates in the use of genomics and computer science to study cancer and the development of the brain (with emphasis on autism). He has developed several computer systems to allow multiple hospital systems to be used as “living laboratories” to study the genetic basis of disease while preserving patient privacy. Dr. Kohane’s research builds on his doctoral work in computer science on decision-support and subsequent research in machine-learning applied to biomedicine. Dr. Kohane leads several NIH-funded efforts to translate genomic research into clinical practice and continues his own practice in pediatric endocrinology at Boston Children’s Hospital.


Oct Dubois Bowman  

Chair the Mailman School of Public Health, Dept. of Biostatistics

Professor of Biostatistics


  David Newman Toker

YKT 20-001



email from Vanessa Liewellyn 7.24 saying he can't make it is Oct.

rescheduled for 2.25.16 (email from Vanessa 10.19.15)

Nov 20 John Greally

YKT 20-001


Albert Einstein