U-M Tobacco Center, CAsToR, accepting applications for scholarships to enroll in short U-M summer courses

By | Educational, Funding Opportunities

The Center for the Assessment of Tobacco Regulations (CAsToR) is accepting applications for scholarships to participate in a short course on tobacco simulation modeling, EPID730 Simulation Modeling of Tobacco Use, Health Effects and Policy Impacts,  or in the course EPID 793 Complex Systems Modeling for Public Health Research, to be offered during the University of Michigan Summer Session in Epidemiology (SSE) Program in 2020. Note that the courses will now be offered in an online format only.

New deadline to apply: 11:59 PM EST on Wednesday April 15, 2020

Additional details on both courses can be found here: sph.umich.edu/umsse/courses/1week.html.  A tentative course syllabus for EPID 730 can be found in this google doc. See the full RFA here. Please contact Katie Zarins (kmrents@umich.edu) with questions.

Combat COVID-19 using newly available HPC resources: COVID-19 High Performance Computing Consortium

By | Feature, HPC, News, Research

COVID-19 High Performance Computing Consortium

On March 23, 3030 the White House announced the launch of a new partnership that aims to unleash U.S. supercomputing resources to fight COVID-19: the COVID-19 High Performance Computing Consortium. The goal of the Consortium is to bring together the Federal government, industry, and academic leaders to provide access to the world’s most powerful high-performance computing resources in support of COVID-19 research. The access to these resources has the potential to significantly advance the pace of scientific discovery in the fight to stop the virus.

To request access to resources of the COVID-19 HPC Consortium, you must prepare a description, no longer than two pages, of your proposed work. To ensure your request is directed to the appropriate resource(s), your description should include the following sections. Do not include any proprietary information in proposals, since your request will be reviewed by staff from a number of consortium sites. It is expected that teams who receive Consortium access will publish their results in the open scientific literature.

Learn more at https://covid19-hpc.mybluemix.net .





Learn more about the COVID-19 outbreak through a panel of experts from the Society of Risk Analysis

By | Feature, Happenings, News

Seth Guikema, Professor of Industrial & Operations Engineering, MICDE affiliated faculty, and President of the Society of Risk Analysis moderated the webinar on Coronavirus: Risk Analysis Perspectives on COVID-19 Outbreak on Thursday, March 12, 2020. The webinar featured a panel of risk experts from the Society of Risk Analysis. If you missed the webinar yesterday you can still watch a recording of the panel discussion online.


MICDE Operations Plan During the COVID-19 Outbreak

By | News

MICDE operations plan during the COVID-19 outbreak

You are all aware of the cancellation of in-class instruction and the suspension of most symposia, seminars and other events, as a consequence of the COVID-19 outbreak in Michigan. MICDE’s leadership has arrived at the following plan for our activities in coordination with the University of Michigan Office of Research:

As with other aspects of the University’s operations, our goal, first and foremost, is to ensure the health and safety of our community. By suspending our operations, and proceeding only with those that can function entirely in remote mode, we aim to return to full strength at the earliest opportunity.


The MICDE Team

Graduate Student Lab Positions Available at Concordia University (Canada)

By | SC2 jobs

Looking for Grad Students interested in Physics-Based Design of Therapeutics!

There are 1-3 openings for fall or winter 2020/2021 in Professor Ré Mansbach’s lab. Professor Mansbach is starting the lab in the Physics Department at Concordia University (http://www.concordia.ca/artsci/physics.html) in Montreal, Quebec, CA. There will be an associated tuition waiver and stipend for highly qualified/talented students.

Desired qualifications:  Looking for highly motivated graduate student candidates interested in theoretical and computational biophysics and deep learning.  Physics or Biophysics BA or BS is preferred but CS, biomedical engineering or related fields are welcome to apply. Experience with coding will be valuable, particularly in Python, and prior experience with molecular dynamics simulations will also be useful. 

Overview of Scientific Goals: Proteins are the building blocks of living things, miniature motors that make all of your cells function. Proteins embedded in cell membranes filter out toxic materials or uptake necessary nutrients. Meanwhile, malfunctioning proteins are responsible for a slew of disorders, including Alzheimer’s, type II diabetes, and Parkinson’s. Professor Mansbach want to understand and design small molecules and peptides for therapeutic applications such as finding new analgesics for treatment of chronic pain disorders, or correcting dysregulation of proteins that lead to Alzheimer’s. 

Potential Projects:

  • Drug Design for Antibiotics. Exploring the use of a fragment-based approach for novel antibiotic hybrid design through generative deep learning, in which a library of fragments relevant to antibiotic applications will be used as a basis for a generative model with a particular emphasis on interpretability as well as candidate generation. 
  • Antimicrobial Peptide (AMP) Design. Designing a deep learning model informed by multiscale molecular dynamics, wherein generative learning is used to iteratively create potential AMP candidates that are assessed on multiple scales using molecular dynamics.
  • Theory of disulfide bonds for toxin-based therapeutics. Using polymer theory or molecular dynamics, exploring ways to bring together constrained polymer theories with bond-breaking force field models to map out the free energy landscapes of disulfide-rich toxins for treatment of pain.

Professor Mansbach is also happy to work with students on their own ideas—as long as they fall within the broad scope of my work—and/or to tailor projects to suit specific strengths and interests.

This lab would like to cultivate an inclusive, diverse and collaborative lab environment. Members of traditionally underrepresented groups in STEM are strongly encouraged to apply.


Please contact ramansbach@gmail.com to apply!


Note for students unfamiliar with the Canadian graduate school system: generally, you need a MSc to advance to the PhD, although fast-tracking is possible if we can make a strong case for it. Professor Mansbach is happy to take someone for a MSc and  commit to sponsoring them on through the PhD; Professor Mansbach also happy to take students who solely want a MSc.