CCB Seminar Series

September 2022 Seminars

Speaker: Antonios Lioutas, PhD, Research Associate in Genetics at HMS 

Title: Super- Resolution Imaging of the Human Genome

When: Monday September 19th at 3:00 – 4:00 PM EDT

Speaker(s): Laurent Gatto, PhD, Associate Professor of Bioinformatics, UCLouvain, Belgium and Charlotte Soneson, PhD, Research Associate, FMI

 Topic: The Bioconductor Education Committee and Its Initiatives

Related link: https://carpentries-incubator.github.io/bioc-project/

When: Monday, Sept.26th 2022 at 10:00-11:00 AM EDT

October 2022 Seminars

Speaker: Shila Ghazanfar, ARC Discovery Early Career Researcher, The University of Sydney, Faculty of Science, School of Mathematics and Statistics

Topic: StabMap: Mosaic single cell data integration using non-overlapping features

When: Monday, Oct 3rd, 2022 at 10:00 AM- 11:00 AM EDT

Speaker: Simon Norrelykke, Ph.D., Image Analyst/Director, HMS, Dept. of Systems Biology

 Topic: Emerging Tools and Technologies in Bioimage Analysis and Processing

When: Monday, Oct. 17th, 2022 at 3:00- 4:00 PM EDT

Speaker: Benjamin Gyori, PhD

 Topic: TBD- INDRA Knowledge Graph

When: Monday, Oct. 24th, 2022 at 3:00- 4:00 PM EDT

Speaker: Jeremy Manning, PhD

 Topic: TBD

When: Monday, Oct. 31st, 2022 at 10:00- 11:00 AM EDT

November 2022 Seminars

Speaker: Dr. Matthew Crowson, MD MPA MASc FRCSC, Assistant Professor, Investigator, Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear

 Topic: Computer Vision for Irritable Toddlers: Improving Diagnostic Accuracy for Ear Infections

Related links:

Machine Learning for Accurate Intraoperative Pediatric Middle Ear Effusion Diagnosis

“Human vs Machine” Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis

When: Monday, Nov 7th 3:00 – 4:00 PM EDT

Speaker: Faisal Mahmood, PhD, Assistant Professor, Pathology, Harvard Medical School, Division of Computational Pathology, Brigham and Women’s Hospital; Data Science Program, Dana-Farber/Harvard Cancer Center; Cancer Program, Broad Institute of Harvard and MIT

 Topic: TBD

When: Monday, Nov 14th 3:00 – 4:00 PM EDT

Speaker: Jeffrey Moffitt, PhD, Assistant Professor, Department of Microbiology, HMS

 Topic: Building tissues atlases with MERFISH: The new opportunities and challenges of image-based single-cell transcriptomics

When: Monday, Nov 28th 3:00 – 4:00 PM EDT

 Oct. 10- Columbus Day (Federal) / Indigenous Peoples’ Day (City of Cambridge)

Nov. 14th – Thanksgiving

The Center of Computational Biomedicine (CCB) at Harvard Medical School hosts a weekly seminar with a focus on current developments and outstanding challenges in computational biomedicine. See below for seminar details and information on how to nominate speakers and request to join the mailing list.

Seminar Topics: Subject areas include single-cell, spatial, and multi-omics approaches, image analysis, knowledge representation and ontologies, and computational aspects underlying the analysis of large and hard-to-manage volumes of biomedical data. CCB invites HMS-affiliated researchers and external speakers to present their work on these topics with the goal of fostering exchange and stimulating discussions between researchers, experimentalists, computational biologists, data scientists, and software developers. We welcome suggestions for future speakers! Please submit these requests via email to Ludwig Geistlinger for review.

Attendees: HMS students, postdocs, research staff and faculty interested in getting up to speed with the current state of the art of obtaining and analyzing novel types of biomedical data. Reach out to Ynnez Bestari to request to be added to the seminar mailing list. Please note, attendance is restricted to Harvard-affiliated trainees, staff and faculty.

Past CCB Seminars: Descriptions and recordings of select past seminars can be found here.

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Oops! (I Did It Again): Issues with Human Subjects Research Data

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FASEB DataWorks! Salon

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Introduction to R Workshop

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Data Analysis Club

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Introduction to R Workshop

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Introduction to R Workshop

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Introduction to R Workshop

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