Events

Future Events

Introduction to Data Science and AI Summer Academy 2024

The Introduction to Data Science and AI Summer Academy introduces the basics of data science and AI methods to researchers (especially faculty). Our goal is to lower the barrier of entry for domain research scientists who plan to adopt data science and AI methods, and enable them to collaborate with data scientists and AI experts more effectively. 

Introduction to Data Science and AI Camp

Overview: ChatGPT. Dall-E. Deep-fakes. Artificial intelligence (AI) and data science are more prevalent in society than ever before—but what, exactly, is going on? Students will have the opportunity to answer these questions and learn more about the basics of data science and AI at our annual Introduction to Data Science and AI High School Summer Camp. In this day-camp, students will work with University of Michigan faculty, graduate students, and their peers to get a taste of data analysis, visualization, and AI through hands-on projects and instruction. Additional programming includes career explorations, presentations from the office of undergraduate admissions, and more.

Past Events 

Transforming Your Research with Generative AI - Tutorial Series

Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

Transforming Your Research with Generative AI - Tutorial Series

Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

Transforming Your Research with Generative AI - Tutorial Series

Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

2024 BIDS-TP Hackathon

ALL BIDS-TP and DCMB trainees welcome! 

AI in Health Ethics and Policy

MIDAS, e-HAIL, LHS Collaboratory, and Inst. for Healthcare Policy & Innovation mini-symposium:

Transforming Your Research with Generative AI - Tutorial Series

Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

CCMB Seminar: Shawn N. Murphy, MD, PhD

"Instrumenting the Health Care Enterprise for Discovery in the Course of Clinical Care"

Sponsored by The Department of Computational Medicine & Bioinformatics

Free snacks and beverages @ 3:30pm for social time

Remote viewing room & snacks at NCRC Bldg. 520, 1st floor

CCMB Seminar: Liyue Shen, PhD

“AI for Medical Imaging and Bioinformatics”

Sponsored by The Department of Computational Medicine & Bioinformatics

Free snacks and beverages @ 3:30pm for social time

Remote viewing room & snacks at NCRC Bldg. 520, 1st floor

Annual Ethical AI Symposium - MIDAS and Rocket Companies

With each passing day, AI technologies play a more and more prominent role in our lives. AI is transforming fields including healthcare, business, science, art, technology, transportation, and more. It is reaching into nearly every aspect of our broader society. Ensuring that we are developing, deploying, and evaluating AI applications ethically and responsibly is imperative — as is providing equal access to these tools.

Amid the current AI boom, researchers, industry leaders, and policymakers need to work together to identify the best practices for studying, developing, and regulating AI in a responsible and ethical manner. MIDAS is excited to be partnering with Rocket Companies to host experts from academia, the private sector, and government, as well as U-M researchers and Future Leaders Summit attendees to showcase their research, discuss important research opportunities and identify gaps, and foster collaborations  that will help inform a more responsible, ethical, and accessible future for AI in our society.

Tools & Technology Seminar: Sardar Ansari

“The Valley of Death between Healthcare AI/ML Model Development and Clinical Impact”

Free pizza

CCMB Seminar: Christina Leslie, PhD

"Advances in predictive models for single-cell and regulatory genomics"

Sponsored by The Department of Computational Medicine & Bioinformatics

Free snacks and beverages @ 3:30pm for social time

Remote viewing room & snacks at NCRC Bldg. 520, 1st floor

Tools & Technology Seminar: Kinsey Van Deynze

“Enhanced Detection and Genotyping of Disease-Associated Tandem Repeats Using HMMSTR and Targeted Long-Read Sequencing.” 

Free pizza

CCMB Seminar: Alexandre Marand, PhD

"An exploration of cis-regulatory diversity in plant single-cells"

Sponsored by The Department of Computational Medicine & Bioinformatics

Free snacks and beverages @ 3:30pm for social time

Remote viewing room & snacks at NCRC Bldg. 520, 1st floor

Transforming Your Research with Generative AI - Tutorial Series

Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

Understanding Biodiversity in a Changing Planet - MIDAS and Institute for Global Change Biology (IGCB) Mini-Symposium

Climate change has led to unprecedented challenges in biodiversity, making it crucial to leverage innovative data science methods for deeper insights into the changing biodiversity. The mini-symposium will provide a unique platform for researchers from diverse backgrounds to come together and delve into the significant role that data science plays in understanding and conserving biodiversity during climate change. 

Together we will (1) learn cutting-edge applications of data science methods in biodiversity data collection, processing, and analysis, (2) engage in thought-provoking interdisciplinary discussions, and (3) contribute to shaping the emerging field of biodiversity data science.

The event will span two days, featuring a day of inspiring talks, an evening networking event, and a second day dedicated to a synthesis working group.

The Future of Discovery in the Age of Human-AI Collaboration

The intended audience are researchers and trainees regardless of the specific fields of their research and the focus of their intellectual pursuit, as well as the general public who are curious about AI and its impact on science and humanity. 

Bioinformatics Multi Cultural Pi Day Celebration

Pi Day Potluck Celebration - DCMB & BIDS-TP students, postdocs, faculty, and staff are all welcome.

Tools & Technology Seminar: Jonathan Gould

"Streaming Dimensionality Reduction Tools for Neural and Behavioral Data"

Free pizza in person

CCMB Seminar: Zhi Yu, PhD

 “High-resolution mapping of the human regulatory genome structure and function”

Sponsored by The Department of Computational Medicine & Bioinformatics

Free snacks and beverages @ 3:30pm for social time

Remote viewing room & snacks at NCRC Bldg. 520, 1st floor

Transforming Your Research with Generative AI - Tutorial Series

Generative AI is revolutionizing the landscape of research by enabling unprecedented levels of automation and innovation, and facilitating major breakthroughs across all research fields. To leverage this, MIDAS and the College of Literature, Science, and the Arts are co-hosting a series of tutorials on Generative AI during the Winter ’24 semester.

Tools & Technology Seminar: Maggie Reuter

"Combating drug resistance using machine learning, multi-omics, and molecular docking."

Free pizza in person

CCMB Seminar: Jeff Vierstra, PhD

 “High-resolution mapping of the human regulatory genome structure and function”

Sponsored by The Department of Computational Medicine & Bioinformatics

Free snacks and beverages @ 3:30pm for social time

Remote viewing room at NCRC Bldg. 520, 1st floor

Technology Meets Creativity: Exploring the Potential of Artificial Intelligence for the Arts

How can A.I. expand our creative horizons? How are artists experimenting with artificial intelligence today? Can art help us define what it truly means to be human? How might research and creative practice at the University of Michigan help answer these questions and more? 

The University of Michigan Arts Initiative, the Michigan Institute for Data Science (MIDAS), Arts Research Incubation and Acceleration (ARIA), and the Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM) jointly offer this symposium, bringing together writers, poets, visual artists and designers, and other creatives alongside scientists, engineers, humanists, philosophers, and other thinkers to investigate the process and products of the collaboration of AI and human artists, to showcase ongoing arts research efforts at the University of Michigan, and to explore research partnerships and other collaborative opportunities going forward.

Building Grant Proposal Ideas that Involve Using Generative AI in Research

Many faculty members are thinking about using Generative AI in their research projects. Maybe this is about using Generative AI to fill in missing data or link datasets, or to carry out data analysis. Or maybe it’s about using Generative AI to generative research hypotheses. But most of us aren’t successful yet at this. Let’s get together and share with each other what we are trying to do, find out who we can collaborate with, and learn from similar efforts. 

Please come and be prepared to discuss with the group your initial idea of using Generative AI in research, what grant opportunities you want to pursue, and what kind of collaboration would be meaningful. 

Interdisciplinary Open Science in Social and Behavioral Research

MIDAS and ICPSR Mini-Symposium

DCMB Industry Day

Bioinformatics Industry Day is an annual event hosted by the Bioinformatics Master's Program and is open to all Bioinformatics and BIDS-TP students to attend.

An Introduction to Generative AI Tools for Research

This session will introduce you to some useful ways to incorporate Generative AI tools in your research, including a brief outline of tools and topics to be covered in depth in the subsequent sessions. It will also include an introduction to prompting with ChatGPT.

Tools & Technology Seminar: Lise Wei

“Translating Voxels to Practice: Leveraging Machine Learning with Image Data in Radiation Oncology”

Tools & Technology Seminar: Joshua Pickard

“Hypergraph Analysis Toolbox”

CCMB Seminar: Ravi Allada

Title TBA

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Kevin Yang

"MSBooster: Peptide-Spectrum Match Rescoring for Improved Peptide Identification in Mass Spectrometry Based Proteomics"

Tools & Technology Seminar: Tim Dunn

"vcfdist: Accurately benchmarking phased variant calls in human genomes"

Tools & Technology Seminar: Rucheng Diao

“A flexible modeling framework with zero-inflated negative binomial mixtures.” 

"Rewriting Conventional Societal Narratives with Data and AI"

MIDAS, Digital Studies Institute, Institute for Research on Women & Gender, and Women of Color Code mini-symposium

+Tech Forum: GenAI Edition

Join Business+Tech for a one-day crash course on GenAI and walk away with a deeper understanding of this cutting edge technology.

Register

Tools & Technology Seminar: Lulu Shang

"Spatially aware dimension reduction for spatial transcriptomics." 

CCMB Seminar: Xiaojie Qiu

"Towards foundational predictive spatiotemporal modeling of single cells"

Sponsored by The Department of Computational Medicine & Bioinformatics

"Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions" - REGISTRATION

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.

Tools & Technology Seminar: Yunhao Wang

“picoMeRIP-seq enables transcriptome-wide RNA m6A profiling in single mammalian early embryos”

CCMB Seminar: Xinjun Zhang

"The evolutionary history, selection, and machine learning-based detection of archaic introgressed variants"

Sponsored by The Department of Computational Medicine & Bioinformatics

U-M Annual Data Science & AI Summit 2023

The U-M Data Science and AI Summit is the largest annual data science and AI event on campus. This 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).

Tools & Technology Seminar: Yunhao Wang

 “Computational Approaches to Analyzing Imaging-based Spatial Transcriptomics”

CCMB Seminar: Ritu Raman

"Mapping and modulating intercellular signaling in engineered neuromuscular tissues"

Sponsored by The Department of Computational Medicine & Bioinformatics

Tools & Technology Seminar: Hannah Steinberg

“Making good use of genomic, spatial, and exposure risk data in infectious disease models”

CCMB Seminar: Stella X. Yu

"What Can Data-Driven Deep Learning Do for You?"

Sponsored by The Department of Computational Medicine & Bioinformatics

Integrating Generative Image AI into Your Research Workflow

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.

CCMB Seminar: Marcin Cieslik

"Bridging Tumor Genotypes and Phenotypes Through Proteogenomics"

Sponsored by The Department of Computational Medicine & Bioinformatics

AI-driven Research Workflows

MIDAS and Dept. Robotics mini-symposium

The upcoming mini-symposium will feature a keynote by Dr. Ian Foster (Argonne National Lab), a pioneer and national leader in advanced computing and AI for scientific discovery.

Tools & Technology Seminar: Paul Jensen

“Fixing metabolic models with on-demand experiments”

CCMB Seminar: Berkley Gryder

"Insights into RNA Polymerase 2 movement in response to cancer therapy"

Sponsored by The Department of Computational Medicine & Bioinformatics

Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

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.

Tools & Technology Seminar: Ford Hannum

“Computational Approaches to Analyzing Imaging-based Spatial Transcriptomics”

CCMB Seminar: Hatice Ulku Osmanbeyoglu

"Machine learning for single-cell regulatory program inference"

Sponsored by The Department of Computational Medicine & Bioinformatics

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.

Tools & Technology Seminar: Baharan Meghdadi

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

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

"DNA Methylation and Cancer"

Sponsored by The Department of Computational Medicine & Bioinformatics

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

Sponsored by The Department of Computational Medicine & Bioinformatics

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

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. . 

CCMB Seminar: Stella X. Yu

"What Can Data-Driven Deep Learning Do for You?"

Sponsored by The Department of Computational Medicine & Bioinformatics