This RTG was established in 2022 under the NSF RTG grant DMS-2136228 led by Jay Gopalakrishnan (PI). We gratefully acknowledge support from the National Science Foundation.

The CADES group effort is divided into three intersecting areas:

• Area I: Numerical techniques for partial differential operators

• Area II: Data-intensive statistical learning

• Area III: Optimization methods for data science

FACULTY

senior personnel

• Dacian Daescu, Areas  II, III 

• Jay Gopalakrishnan, Area I

• Bruno Jedynak, Area II

• Bin Jiang, Areas I, III

• Mau Nam Nguyen, Area III

• Jeffrey Ovall, Area I

• Daniel Taylor Rodriguez, Area II

• Panayot Vassilevski, Areas I, II

RTG trainee support under DMS 2136228 is restricted to US citizens, nationals, and permanent residents. However, any interested trainee may join the CADES group activities if recommended by one of the grant's senior personnel.

OTHER participating FACULTY

• Hannah Kravitz, Area I

• Safa Mote, Area III

• Will Pazner, Area I

• Isabelle Shankar, Area III

PhD Students

• Bogle, Emily

• Breslin, William

• Bryant, Rebecca

• Cortés Castillo, Pablo

• Crisp, Ashlynn

• Fadness, Barry

• Haney, Vicky

• Kolshorn, Anthony

• Nelson, Austen

• Pinochet Soto, Gabriel

• Sandine, Gary

• Schultz, Jacob

• Solano-Herrera, Andy

• Reid, Robyn

• Reynolds, Samuel

• Rielly, Victor

• Robinson, Quincy

• Valentine, Justin

• Wells, Michael

Undergraduate & MASTers students

• Barker, Melayne

• Caraccioli Salinas, Pascal 

• Cutcher, Acamaro

• Glinowiecka-Cox, Małgorzata

• Gratcheva, Tamara

• Hillebrandt, Henry

• Jenkins, Micron

• Mehdinia, Mina

• Ruff, Madison

• Toobian, Esther

• Wahl, Reid

• Xia, Sally

POStdocs

• Fisher, Nick

• Kritschgau, Juergen

• Li, Julie

• Neunteufel, Michael

FORMER GROUP MEMBERS

• VandenBerge, Pieter (PhD 2024, NRC Research Associate / National Academies)

• Bee, Callista (Santa Fe Institute)

• Pandya, Kruti (PhD 2022, Intel Corporation) 

• Schafelner, Andreas (Postdoc 2022, RICAM, Linz, Austria)