May Institute continues IN PERSON!
April 27 – May 9, 2026, Northeastern University, Boston MA in person
Organizers: Olga Vitek and Michael Shortreed
Sponsors: Barnett Institute for Chemical and Biological Analysis, Northeastern University
Returning for 2026: Future Developers Meeting, May 8th – 9th, 2026.
Two days of tutorials, lectures, and collaboration on computation methods for integrative downstream interpretation, quantitative spatial mass spectrometry, and spatial modality integration.
The May Institute focuses on computational and statistical aspects of quantitative mass spectrometry-based proteomics. The course combines keynote presentations, introductory lectures, practical training, and informal personal discussions.
Instructors of the course are leading experts, who contributed numerous experimental and computational methods and software. The target audience are both beginners and experienced scientists, who would like to strengthen their computational and statistical expertise. We also welcome computer scientists, bioinformaticians, data scientists, statisticians and engineers interested in learning about working with data from modern biotechnologies. The participants will have many opportunities to ask questions, and will be able to present their research.
Contact: mayinstitute@ccs.neu.edu
Below is the 2026 program.
Note: we try our best to have the most up to date information reflected below, but changes to course names, instructors, and other details may change without warning.
| April 27, 9:00am -April 28, 5:00pm | Quantitative proteomics with Skyline Lead instructors: Susan Abbatiello, Brendan MacLean and Lindsay Pino |
2 days | Info |
| April 28, 9:00m – April 28, 5:00pm | (NEW!) Regulation and AI Lead instructor: TBD |
1 day | Info |
| April 29, 9:00am – April 29, 5:00pm | (NEW!) Quantitative proteomics with FragPipe Lead instructor: Alexey Nesvizhskii |
1 day | Info |
| April 30, 9:00am – May 1, 5:00pm | Beginners R and beginners statistics Lead instructor: Ryan Benz |
2 days | Info |
| April 30, 9:00am – May 1, 5:00pm | Intermediate R, data visualization and statistics Lead instructor: Kylie Bemis |
2 days | Info |
| April 30, 9:00am – May 1, 5:00pm | Applied Python for data analysis and beginners statistics Lead instructors: Ben Gyori |
2 days | Info |
| May 4, 9:00am – May 6, 5:00pm | Statistics for quantitative mass spectrometry: methods and case studies & bring your own data clinic (NEW!) Lead instructors: Olga Vitek and Devon Kohler |
3 days | Info |
| May 6, 9:00am – May 7, 5:00pm |
Interpretation of proteomic experiments in the context of biomolecular networks with INDRA Lead instructor: Ben Gyori |
2 days | Info |
| May 6, 9:00am – May 7, 5:00pm | (NEW!) Analysis of mass spectrometry images with Cardinal & bring your own data clinic Lead instructor: Kylie Bemis |
2 days | Info |
| May 8, 9:00am – May 9, 5:00pm |
Frontiers in computational methods Michelle Li, Deep learning models for understanding protein interaction networks and phenotype-driven diagnosis of rare genetic diseases Ed Huttlin, Integration of structural predictions and protein interactions for interpretation and discovery |
2 days | Info |
