Workshop on Missing Data Challenges in Computation, Statistics and Applications

Monday, March 16, 2020 - 09:00 to Wednesday, March 18, 2020 - 17:00


The workshop is organized by Laura Balzano (IAS/University of Michigan), Bianca Dumitrascu (IAS/ SAMSI), and Boaz Nadler (IAS/Weizmann Institute of Science) and will take place in West Building Lecture Hall.

Missing data is ubiquitous in statistical analysis. In genomics, novel single cell technologies allow for the collection of data sets where individual cells are characterized by whether genes are expressed or not, but only the values exceeding a particular threshold can be detected. In social sciences, in survey data, participants might choose to not answer particular questions. In healthcare, only one dosage of a medication can be tried at any particular time, or discomfort associated with particular medications might compel a patient to drop out of a given treatment. While significant theoretical results in dealing with missing data exist, there is a wide variability in the set of tools used within particular disciplines. Domain specific knowledge and jargon make it difficult for experts from different disciplines to effectively communicate and share knowledge regarding challenges and state-of-the-art methodology. Bringing together practitioners and theorists alike, this workshop will provide a platform for discussing progress related to inference and computational challenges emerging across disciplines where missing data is an issue and identifying promising venues where theory provide insight into data analysis.


Speakers who have confirmed participation:

Gurinder Singh Atwal, Laura Balzano, Nicolas Boumal, Eric Chi, Mark Davenport, David Dunson, Barbara Englehardt, Anna Gilbert, Kosuke Imai, Rafael Irizarry, Julie Josse, Sanmi Koyejo, Rod Little, Grace Yi, Anru Zhang and Nancy Zhang.


Registration: click here

If you have any problems with registration or other practical questions, please write to Michelle Huguenin (

Registration is required and a ticket is needed for entrance into the event.  



Printable schedule



The school has a limited amount of funds available to help support graduate students, postdocs and junior faculty who may wish to attend the workshop at the Institute.  Please send your CV, research statement and a letter from a faculty member who knows your work to Michelle Huguenin at  The deadline for submission is February 21, 2020. Funded registrants will be notified by February 26.

Poster Session:

A few slots are being reserved to showcase work in a poster session by young researchers (grads and postdocs) who will be in attendance of the workshop. To be considered please send an email to Michelle Huguenin ( by February 21 with a title and abstract in the body of the email along with a research statement in pdf format.

Selected presenters will be invited and notified by February 26.

Travel Information:

Directions to IAS (driving, train and plane):

Places to Stay:

  • The Peacock Inn (1.5 miles from IAS) 20 Bayard Lane, Pirnceton, NJ 08540 - 609-924-1707
  • Nassau Inn (1.6 miles from IAS) 10 Palmer Square, Princeton, NJ 08542 - 609-921-7500
  • Hyatt Regency (3.1 miles from IAS) 102 Carnegie Center Drive, Princeton, NJ 08540 - 609-987-1234
  • Marriott Residence Inn (3.7 miles from IAS) 3563 US Route 1, Princeton, NJ 08540 - 609-799-0550
  • Hyatt Place (3.8 miles from IAS) 3565 US Highway 1, Princeton, NJ 08540 - 609-720-0200
  • Extended Stay America (4.4 miles from IAS) 3450 US Highway 1, Princeton, NJ 08540 - 609-919-9000
  • Courtyard Marriott (5.3 Miles from IAS) 3815 US Highway 1 at Mapleton Road, Princeton, NJ 08540 - 609-716-9100
  • Homewood Suites (5.7 miles from IAS) 3819 US Highway 1, Princeton, NJ 08540 - 609-720-0550
  • DoubleTree (5.9 miles from IAS) 4355 US Highway 1, Princeton, NJ 08540 - 609-452-2400

Please inquire with the hotel if they offer shuttle service to the local Princeton area.