I work at the meeting point of harmonic analysis, geometric measure theory, combinatorics, number theory, signal recovery, and the mathematical foundations of data science.
Fellow of the American Mathematical Society · 2026 Simons Fellow
– · University of Rochester
High school students, undergraduates, graduate students, postdoctoral researchers, and faculty will come together for three days of talks on harmonic analysis, combinatorics, geometry, and signal recovery.
Organized by A. Iosevich and E. Palsson. All are welcome.
Friday: Lattimore 201. Saturday and Sunday: Hylan 1106A.
All eight research projects from the successful StemForAll2026 summer program are continuing during the 2026–2027 academic year. Current participants remain involved, and new students are welcome to join.
For current and upcoming invited lectures, see the full CV.
I currently serve in senior editorial roles across analysis and related areas.
Editor-in-Chief for Analysis.
Associate Editor.
Editor.
Member of the Editorial Board.
The central theme is that analytic structure can force geometric, combinatorial, and information-theoretic rigidity.
Fourier restriction, oscillatory integrals, Falconer-type problems, and geometric measure theory.
Uncertainty principles, spectral synthesis, signal recovery, sampling, and complexity.
Distance and configuration problems in Euclidean spaces, finite fields, and finite rings.
Connections between harmonic analysis, VC theory, statistical learning, and applied modeling.
My advising is built around regular collaboration, increasing independence, and sustained support. I have advised or co-advised 39 past and current Ph.D. students, supervised 48 undergraduate honors theses, worked with 15 postdoctoral researchers, and collaborated with more than 200 coauthors.
StemForAll and related programs bring undergraduate students, graduate students, postdocs, faculty, and industry partners into a shared research environment.
A Quanta Magazine account of recent progress and the broader role of harmonic analysis.
A four-part lecture series from the Hausdorff Research Institute for Mathematics.
An essay on the challenges and opportunities of advising graduate students.
Zog nit keyn mol, az du geyst dem letstn veg,
Khotsh himlen blayene farshteln bloye teg,
Kumen vet nokh undzer oysgebenkte sho,
S'vet a poyk ton undzer trot — mir zaynen do!