Events

Future Events

AI for Medical Imaging (MIDAS and Dept. Radiology mini-symposium)

Sponsored by The Department of Computational Medicine & Bioinformatics

CCMB Seminar: Peter A. Jones, PhD, DSc (hon)

"DNA Methylation and Cancer"

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Baharan Meghdadi

"Machine learning based method for metabolic flux analysis of patient tumors"

Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

MIDAS and the Michigan AI Laboratory will jointly offer a training series to researchers across research fields as they start incorporating Generative AI in their research. Each will consist of lectures, demonstrations, and hands-on tutorials for using Generative AI in research.

Past Events 

2023 DCMB and Bioinformatics Graduate Program Annual Retreat

RSVP

A two-day retreat of talks, activities, and workshops!

This years theme is "Bioinformatics: Riding the wave of new technologies"

CCMB Seminar: Joshua Welch, Ph.D.

Title TBA

Sponsored by The Department of Computational Medicine & Bioinformatics

Weiser Hall, 10th floor

Funding Trends Discussion Series

Recently, diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image generation, audio synthesis, inverse problem solving, and many scientific disciplines. However, despite their impressive results, they also encounter numerous challenges and constraints that inhibit their practical implementation in many scientific pursuits. Therefore, this MIDAS symposium will serve as a timely platform where experts and researchers from both methodology and application research fields will explore the latest progress and developments in generative AI and diffusion models, and delve into the application of these models in scientific and medical fields, which will become a prime venue for idea exchange and fostering research partnerships in this emerging field.

Tools & Technology Seminar: Paramveer Dhillon

 “Ranking & Reweighting Improves Out-of-distribution Robustness”

Location TBA

Funding Trends Discussion Series

The MIDAS Funding Trends Discussion Series invites all U-M faculty and researchers to engage in discussion on the evolving landscape of data science and AI research funding, featuring presentations from experts in the field. Attendees can expect to gain perspective on the current trends and opportunities in research funding for data science across a variety of fields. These seminars also include ample time for attendees to network and build collaboration with their colleagues across campus. 

Palmer Commons, Great Lakes Room

MIDAS - Welcome-back social and faculty research pitch

Come and talk with MIDAS affiliate faculty members and others in the U-M data science and AI research community, hear research collaboration opportunities, find out upcoming research and training activities at MIDAS, and discuss how MIDAS can work with you! 

BIDS-TP Hack-a-thon

Invite a friend to join you!

Fuel for Thought: We understand that great minds need great nourishment. Fear not; we'll keep your energy levels soaring with a lunch provided by Jimmy Johns.  Please let me know if you have any dietary restrictions.

BYODevice: Bring your laptops, chargers, and any other tech tools you require to unleash your full potential during this exhilarating coding marathon!


BSRB, Rooms A/B/C

Bioinformatics Graduate Program Kick-off Event

Biomedical Data Science Summer Academy 2023

DCMB Annual Picnic

2023 Ethical AI Forum
From Theory to Practice: Building Ethical and Trustworthy AI

Social Research with Unstructured Data: Connection Series

MIDAS / LHS Collaboratory Colloquium: Implementing AI in Health

MIDAS Future Leaders Summit 2023

CCMB Seminar: Tomer Stern, Ph.D.

"The causes and consequences of somatic genome rearrangements in human cancer"

Sponsored by The Department of Computational Medicine & Bioinformatics

BIDS-TP and National NIHMS Predoc-T32 PI leadership meeting

CCMB Seminar: Lixing Yang, Ph.D.

"The causes and consequences of somatic genome rearrangements in human cancer"

Sponsored by The Department of Computational Medicine & Bioinformatics

MIDAS AI in Science and Engineering Day

Social Research with Unstructured Data: Connection Series

Tools & Technology Seminar: Piyush Ranjan

“SNIKT: a Wolverine's approach to fast, sequence-independent adapter trimming for long-read WGS.”

CCMB Seminar: Ali Shilatifard, Ph.D.

"Principles of Epigenetics and Chromatin in Development and Human Disease"

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar

CCMB Seminar: Lakmal Jayasinghe, Ph.D.

"Democratising Sequencing: Technology and Applications of Oxford Nanopore"

Sponsored by The Department of Computational Medicine & Bioinformatics

Social Research with Unstructured Data: Connection Series

Tools & Technology Seminar: Elisa Warner

“Understanding Backpropagation in PyTorch”

Tools & Technology Seminar: Satwik Acharyya

“SpaceX: Gene Co-expression Network Estimation for Spatial Transcriptomics”

Tools & Technology Seminar: Cheng Jiang

“OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology”

CCMB Seminar: Michael A. Beer, Ph.D., M.A.

"Sequence-based Machine Learning for Modeling Cell State Transitions"

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Meera Krishnamoorthy

"AMAISE: a machine learning approach to index-free sequence enrichment"

Tools & Technology Seminar: Jeff Okamoto

“Probabilistic integration of transcriptome-wide association studies and colocalization analysis prioritizes key molecular pathways of complex traits.”  

Tools & Technology Seminar: Fan Feng

“GenomicKB: a knowledge graph for the human genome”

2023 JMM/AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data

CCMB Seminar: Luca Pinello, Ph.D.

Sponsored by The Department of Computational Medicine & Bioinformatics

U-M data science and AI Summit 2022

This annual summit (previously known as the annual symposium) is the largest annual data science and AI event on campus. The event brings together the U-M data science and AI research community and their external collaborators to build research vision and collaboration. It also showcases the breadth and depth of U-M data science and AI research, from theory and methodology development to the transformative use of data and AI to address scientific and societal challenges in all domains. The event is free for all attendees (U-M faculty, staff, and trainees, as well as industry, government and community members).

CCMB Seminar: Jesse Engreitz, Ph.D.

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Chen Li

“Single-cell multi-omic velocity infers dynamic and decoupled gene regulation”

CCMB Seminar: Marinka Zitnik, Ph.D.

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Gen Li

“New Amalgamation-Based Methods for Microbiome Compositional Data Analysis”

Statistics and Machine Learning in the Big Data Era Conference 

At this two-day conference co-hosted by the University of Michigan Department of Biostatistics and Department of Statistics, we aim to bring together researchers to disseminate and discuss their recent work on statistical machine learning theory, methods, and applications for analyzing large-scale data.

Tools & Technology Seminar: Xin An

"Packages and Developments in Molecular Representation Methods for Drugs"

CCMB Seminar: Hyejung Won, Ph.D.

Sponsored by The Department of Computational Medicine & Bioinformatics

NLP Research Connection Series

Tools & Technology Seminar: Anthony Huffman

"A Comprehensive Update on CIDO: The Community-based Coronavirus Infectious Disease Ontology"

CCMB Seminer: Jeorg Lahann, PhD

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Eric Bell

CCMB Seminar: Muneesh Tewari, PhD

Sponsored by The Department of Computational Medicine & Bioinformatics

Datatopia: The Future of Scientific Discovery Through a Data Lens Colloquium

In this colloquium we will explore the promises data science has for scientific inquiry while also taking a critical view on the processes of science-making and data extraction, analysis and implementation. . 

DCMB 10th Anniversary Symposium & Celebration

Faculty Science and Distinguished Alumni Career talks and 8th Annual Gilbert S. Omenn Lecture with Poster Session and Reception.

Tools & Technology Seminar: Kendrick Li

"Proximal causal inference under confounded outcome-dependent sampling designs, with application to test negative designs for flu and COVID-19 monitoring"

CCMB Seminer: Jeorg Lahann, PhD

Sponsored by The Department of Computational Medicine & Bioinformatics

Natural Language Processing Workshop Series

In the first workshop of the series, we will provide a broad overview of NLP and introduce basic concepts used in NLP, including keyword counting, sentiment classification, and topic modeling. 

Tools & Technology Seminar: Tim Dunn

“nPoRe: n-Polymer Realigner for improved pileup variant calling” 

CCMB Seminer: Andre White, PhD

Sponsored by The Department of Computational Medicine & Bioinformatics

CCMB Seminar - Precision Medicine Student Lightening Talks

Sponsored by The Department of Computational Medicine & Bioinformatics

MIDAS Research Pitches and Welcome Social

Start the fall semester with this social event for the U-M data science and AI research community!

Aug 25, 1pm-5pm

Palmer Commons, Great Lakes South & Central

U-M BIOINFORMATICS KICKOFF EVENT

This annual event attended by faculty and Bioinformatics students welcomes the incoming students and provides an opportunity for them to hear updates about the program, and socialize.

2022 MIDAS Data Science for Biomedical Scientists Bootcamp

Virtual week-long immersive workshop. 

Department of Computational Medicine & Bioinformatics Annual Retreat 

#DCMB10 - Help us celebrate 10 years of DCMB!

This year's retreat will focus on the theme of "Unity and Reconnection" and will also feature the 7th Annual Omenn Lecture - "Biomedical Data Science: The Hope, Hype and Promise" given by Dr. Bradley Malin.

Datatopia: The Future of Scientific Discovery Through a Data Lens Colloquium

In this colloquium we will explore the promises data science has for scientific inquiry while also taking a critical view on the processes of science-making and data extraction, analysis and implementation. .