
The May Institute on Computation and Statistics for Mass Spectrometry and Proteomics, taking place on April 27 – May 9, 2026 on the campus of Northeastern University in Boston MA, is open for applications!
Instructors are leading experts, who contributed numerous experimental and computational methods and software. The target audiences are both beginners and experienced scientists, with both experimental and computational expertise.
New this year, we have a greater focus on AI. We also introduce "bring your own data" sessions where you can get assistance analyzing your own data.
We gratefully acknowledge the support of our sponsors Biognosys and Fragmatics.
Participants can select a subset of the following programs:
⦁ April 27 - April 28 - Quantitative proteomics with Skyline: Susan Abbatiello, Brendan MacLean, Lindsay Pino
⦁ April 28 - AI in action: from drug discovery to regulatory insight: Romi Singh, Wengong Jin
⦁ April 29 - Quantitative proteomics with FragPipe: Alexey Nesvizhskii, Fengchao Yu
⦁ April 30 - May 1 - Beginners R and beginners statistics: Ryan Benz
⦁ April 30 - May 1 - Intermediate R, data visualization and statistics: Kylie Bemis
⦁ April 30 - May 1 - Applied Python for data analysis and beginners statistics: Arzu Tuğçe Güler
⦁ May 4 - May 6 Statistics for quantitative mass spectrometry & bring your own data clinic featuring a Spectonaut support specialist and MSstats developers: Brian Searle, Olga Vitek, Devon Kohler, Monika Pepelnjak
⦁ May 7 - May 8 - Interpretation of proteomic experiments in the context of biomolecular networks with INDRA: Ben Gyori
⦁ May 7 - May 8 - Analysis of mass spectrometry images with Cardinal & bring your own data clinic: Kylie Bemis
⦁ May 9 - 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
- Theodore Alexandrov, Metabolite annotation for imaging mass spectrometry using METASPACE
A limited number of registration fee wavers will be available for students and postdocs affiliated with academic or nonprofit institutions.