Events
Future Events
SEP 26, 9am-4pm
Rackham Amphitheatre, 4th floor
AI for Medical Imaging (MIDAS and Dept. Radiology mini-symposium)
Sponsored by The Department of Computational Medicine & Bioinformatics
SEP 27, 11am-12noon
Palmer Commons, Forum Hall
CCMB Seminar: Peter A. Jones, PhD, DSc (hon)
"DNA Methylation and Cancer"
Sponsored by The Department of Computational Medicine & Bioinformatics
SEP 28, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Baharan Meghdadi
"Machine learning based method for metabolic flux analysis of patient tumors"
OCT 02, 9am-12noon
Johnson Rooms (3rd Floor), Lurie Engineering Center, 1221 Beal Avenue, Ann Arbor
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
SEP 22-23
Maumee Bay Lodge & Conference Center, 1750 State Park Road #2, Oregon, OH 43616
2023 DCMB and Bioinformatics Graduate Program Annual Retreat
A two-day retreat of talks, activities, and workshops!
This years theme is "Bioinformatics: Riding the wave of new technologies"
SEP 20, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar: Joshua Welch, Ph.D.
Title TBA
Sponsored by The Department of Computational Medicine & Bioinformatics
SEP 15, 8:30am-5pm
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.
SEP 14, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Paramveer Dhillon
“Ranking & Reweighting Improves Out-of-distribution Robustness”
SEP 12, 2:30pm-4:30pm
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.
SEP 06, 2:30pm-4pm
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!
AUG 25, 12:30pm-5pm
USB, Room 4151
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!
SUMMER 2023 (Now accepting applicants)
BDSIL Data Science and the Public Health Consequences of the COVID-19 Pandemic
JULY 10-14
LSA Building, Room 1040 – 500 State St. Ann Arbor MI 48109
JUN 07
Island Park, Ann Arbor, MI
JUN 01, 1pm-2:30pm
West Hall 340
MIDAS Seminar: Alfred Hero - NSF Priorities and Opportunities for Data Science and AI
MAY 16, 9am-5pm
Johnson Rooms, 3rd Floor, Lurie Engineering Center
2023 Ethical AI Forum
From Theory to Practice: Building Ethical and Trustworthy AI
MAY 05, 2pm-3:30pm
Institute For Social Research - ISR 6050
APR 17, 8:30am-4pm
Palmer Commons, Great Lakes Room
All are welcome to attend this free public event. Registration in advance is strongly recommended.
MIDAS / LHS Collaboratory Colloquium: Implementing AI in Health
APR 12-14
Rackham Amphitheatre
APR 12, 4pm-5pm
Palmer Commons, Forum Hall
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
APR 05, 11am ET
ZOOM
BIDS-TP and National NIHMS Predoc-T32 PI leadership meeting
APR 05, 4pm-5pm
Palmer Commons, Forum Hall
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
APR 03, ALL DAY
Forum Hall and Great Lakes Room, Palmer Commons
Mar 31, 2pm3:30pm
6050 ISR (Institute for Social Research)
Mar 30, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Piyush Ranjan
“SNIKT: a Wolverine's approach to fast, sequence-independent adapter trimming for long-read WGS.”
Mar 29, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar: Ali Shilatifard, Ph.D.
"Principles of Epigenetics and Chromatin in Development and Human Disease"
Sponsored by The Department of Computational Medicine & Bioinformatics
Mar 23, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar
Mar 22, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar: Lakmal Jayasinghe, Ph.D.
"Democratising Sequencing: Technology and Applications of Oxford Nanopore"
Sponsored by The Department of Computational Medicine & Bioinformatics
MAR 14, 6-8pm
BSRB A/B/C
Mar 10, 2pm3:30pm
6050 ISR (Institute for Social Research)
Mar 09, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Elisa Warner
“Understanding Backpropagation in PyTorch”
Feb 23, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Satwik Acharyya
“SpaceX: Gene Co-expression Network Estimation for Spatial Transcriptomics”
Feb 16, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Cheng Jiang
“OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology”
Feb 08, 4pm-5pm
Palmer Commons, Forum Hall
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
Feb 02, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Meera Krishnamoorthy
"AMAISE: a machine learning approach to index-free sequence enrichment"
January 26-27, 2023
Weiser Hall 10th Floor Event Space
500 Church St., Ann Arbor
MIDAS January Colloquium
Jan 26, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Jeff Okamoto
“Probabilistic integration of transcriptome-wide association studies and colocalization analysis prioritizes key molecular pathways of complex traits.”
Jan 12, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Fan Feng
“GenomicKB: a knowledge graph for the human genome”
January 4-6, 2023
jmm 2023 - Boston, MA
2023 JMM/AMS Special Session on Tensor Representation, Completion, Modeling and Analytics of Complex Data
Date/Time:
Venue: Hynes Convention Center, Room 206.
Registration: Meeting Registration is required.
Conference: 2023 Joint Mathematics Meeting (JMM), session 2270:SS19 (A, B, C).
Session Format: Three half-day sessions, each 5-hours with 10 20+5+5 minute talks.
Equipment: Computer projector and screen with HDMI connection. Session room does not include overhead transparency projectors, computers/laptops, blackboards or whiteboards.
AMS Special Session Manual: AMS/JMM Session Manual.
Paper Abstract Submission, click on the AMS (American Mathematical Society) “BEGIN A SUBMISSION” button. Deadline for abstract submission is September 13, 2022.
December 17-19, 2022
King's College, London
15th International Computational and Methodological Statistics Conference (CMStatistics)
Nov 30, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar: Luca Pinello, Ph.D.
Sponsored by The Department of Computational Medicine & Bioinformatics
Nov 14-15
University of Michigan Union and Rackham Graduate School
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).
Nov 09, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar: Jesse Engreitz, Ph.D.
Sponsored by The Department of Computational Medicine & Bioinformatics
Nov 03, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Chen Li
“Single-cell multi-omic velocity infers dynamic and decoupled gene regulation”
Nov 02, 4pm-5pm
Palmer Commons, Great Lakes Rm.
CCMB Seminar: Marinka Zitnik, Ph.D.
Sponsored by The Department of Computational Medicine & Bioinformatics
Oct 27, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Gen Li
“New Amalgamation-Based Methods for Microbiome Compositional Data Analysis”
October 21-22, 2022
Palmer Commons, 100 Washtenaw Avenue, Ann Arbor, MI 48109
Statistics and Machine Learning in the Big Data Era Conference
Registration: Required by Sept 12, 2022!
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.
BIDS-TP Students are encouraged to prepare, submit and present posters at this event!
“Workshop on Modern Statistical and Machine Learning Methods for Big Data”, organized by the Departments of Statistics and Biostatistics, to be held October 21st at 6:30pm-8:30pm
Oct 20, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Xin An
"Packages and Developments in Molecular Representation Methods for Drugs"
Oct 19, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar: Hyejung Won, Ph.D.
Sponsored by The Department of Computational Medicine & Bioinformatics
Oct 14, 1pm-2pm
426 Thompson St, Ann Arbor MI
Oct 13, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Anthony Huffman
"A Comprehensive Update on CIDO: The Community-based Coronavirus Infectious Disease Ontology"
Oct 12, 4pm-5pm
Palmer Commons, Great Lakes South Rm.
CCMB Seminer: Jeorg Lahann, PhD
Sponsored by The Department of Computational Medicine & Bioinformatics
Oct 6, 12noon-1pm
Palmer Commons, Room 2036
Oct 5, 4pm-5pm
Palmer Commons, Great Lakes South Rm.
CCMB Seminar: Muneesh Tewari, PhD
Sponsored by The Department of Computational Medicine & Bioinformatics
Sep 29, 12:30pm-5:15pm
Wolverine Room, Michigan Union
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. .
Sep 29, 1pm-6:30pm
U-M, Basic Science Research Building (BSRB)
DCMB 10th Anniversary Symposium & Celebration
Faculty Science and Distinguished Alumni Career talks and 8th Annual Gilbert S. Omenn Lecture with Poster Session and Reception.
Sep 22, 12noon-1pm
Palmer Commons, Room 2036
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"
Sep 21, 4pm-5pm
Palmer Commons, Great Lakes South Rm.
CCMB Seminer: Jeorg Lahann, PhD
Sponsored by The Department of Computational Medicine & Bioinformatics
Sep 19, 3pm-5pm
340 West Hall
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.
Sep 15, 12noon-1pm
Palmer Commons, Room 2036
Tools & Technology Seminar: Tim Dunn
“nPoRe: n-Polymer Realigner for improved pileup variant calling”
Sep 14, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminer: Andre White, PhD
Sponsored by The Department of Computational Medicine & Bioinformatics
Sep 07, 4pm-5pm
Palmer Commons, Forum Hall
CCMB Seminar - Precision Medicine Student Lightening Talks
Sponsored by The Department of Computational Medicine & Bioinformatics
Sep 06, 2pm-4pm
Weiser Hall 10th Floor (500 Church Street, Ann Arbor)
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.
July 26-30 (Virtual)
2022 MIDAS Data Science for Biomedical Scientists Bootcamp
Virtual week-long immersive workshop.
June 3-4 (Maumee, OH)
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.
Sep 30, 9:00am-3:00pm
Hatcher Graduate Library
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. .