The Computational Health Informatics Program (CHIP) events page highlights a range of talks, seminars, and discussion series focused on the intersection of healthcare, artificial intelligence, and data science.

The events program serves as a platform for sharing cutting-edge ideas and fostering discussion on how technology is shaping the future of healthcare.

Upcoming Events

Michael Howell, MD, MPH, Chief Health Officer at Google

Landmark Ideas Series
401 Park Dr, 5th Floor East, Boston, MA, 02215

September 15, 2026 at 2:30 PM - 3:45 PM

Registration is required to attend.

Past Events

Todd Golub, MD, Director of the Broad Institute at MIT and Harvard

Landmark Ideas Series

February 17, 2022 at 4:00PM - 5:30PM

Genomic Approaches to Cancer Precision Medicine Dr. Golub presented findings from his laboratory and the Broad Institute Cancer Program utilizing large-scale pre-clinical models for therapeutic target discovery and approaches to cancer precision medicine. 

Ellen Grant, MD, Director, Fetal-Neonatal Neuroimaging and Developmental Science Center; Borjan Gagoski, PhD, Faculty MR Physician, Fetal-Neonatal Neuroimaging and Developmental Science Center; Junshen Xu, PhD, Student, at MIT

Computational Health Informatics Program Hospital-Wide AI Working Group

February 11, 2022 at 09:30AM - 10:30AM

Fetal magnetic resonance imaging is challenging to perform as the fetus continually moves during image acquisition. As a result, the technologist must know how to "chase the fetus" to get images orthogonal to the fetal brain and repeat these acquisitions until images without motion are obtained. In this talk we will discuss how ML approaches are being used to accelerate and automate fetal imaging acquisition. Fetal imaging can be a challenge, but fetal motion also provides insight into the neurological and musculoskeletal development of the fetus. We will also describe how we have used ML approaches to track and quantify fetal motion and the potential neuroscientific and clinical applications.

Ben Reis, PhD and Ilkin Bayramli, at Boston Children's Hospital

Computational Health Informatics Program Hospital-Wide AI Working Group

February 1, 2022 at 2:00PM - 3:00PM

Dr. Ben Reis and Ilkin Bayramli will present their paper in Journal of the American Medical Informatics Association (JAMIA) entitled "Temporally informed random forests for suicide risk prediction": -https://pubmed.ncbi.nlm.nih.gov/34725687/

Drs. Arjun Manrai, Amy Starmer, and Robert Rosen, at Boston Children's Hospital

Computational Health Informatics Program Hospital-Wide AI Working Group

January 21, 2022 at 09:30AM - 10:30AM

A discussion among Drs. Arjun Manrai, Amy Starmer, and Robert Rosen, moderated by Dr. Ken Mandl.

Amy Abernethy, MD, PhD, President of Clinical Studies Platforms at Verily

Landmark Ideas Series

January 20, 2022 at 4:00PM - 5:30PM

Clinical research is undergoing a major shift, as regulators and sponsors move towards continuous evidence generation to study how interventions perform over time. In this talk, we’ll explore what’s accelerating this trend, how new tools and technologies are advancing the space, and how it can ultimately enable more personalized care.

Byron Wallace, PhD, Associate Professor at Northeastern University

Computational Health Informatics Program Hospital-Wide AI Working Group

December 14, 2021 at 2:00PM - 3:00PM

Dr. Wallace will talk about their work in text summarization and simplification, and issues related to factual accuracy of generated texts: - https://arxiv.org/abs/2104.05767 - https://arxiv.org/abs/2008.11293

Alal Eran, PhD, Faculty, Computational Health Informatics Program at Boston Children's Hospital

Computational Health Informatics Program Hospital-Wide AI Working Group

November 30, 2021 at 2:00PM - 3:00PM

Dr. Eran presented her paper in Nature Medicine entitled "A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia": https://www.nature.com/articles/s41591-020-1007-0.

Alina Chan, Molecular Biologist at the Broad Institute at MIT and Harvard University

Landmark Ideas Series

November 15, 2021 at 4:00PM - 5:30PM

In May 2020, I co-authored a preprint that asked whether SARS-CoV-2 might have emerged naturally or from a lab. The preprint propelled me into an unpredictable year-and-a-half journey of searching for the origin of Covid-19. In May 2021, I agreed to write down what I had learnt in a book that will be released on November 16, VIRAL: The Search for the Origin of Covid-19. In this Landmark talk, I will discuss the role of scientists in the investigation of how SARS-CoV-2 emerged in Wuhan in late 2019. I will also describe the available data relevant to the origin of Covid-19, and how scientists can and must play an important role in what is possibly the most important mystery of our generation. This virus will be with us forever. We need to know where it came from.

Stephen Wolfram, PhD, Founder and CEO at Wolfram Research

Landmark Ideas Series

October 7, 2021 at 4:00PM - 5:30PM

Dr. Stephen Wolfram  –  creator of Mathematica, Wolfram|Alpha and the Wolfram Language; the author of A New Kind of Science; the originator of the Wolfram Physics Project; and the founder and CEO of Wolfram Research – will speak about the computational future and biomedicine. Dr. Wolfram will share a roadmap for recentering biomedicine around computation and give insights into harnessing data driven science to transform the biomedical landscape. This should be a relevant and an illuminating talk from one of the foremost leaders in computational health.  

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