Training

Each year, three PhD students from the CADES program are selected, after a stiff competition,  to receive generous RTG Fellowships. (The fellowship stipends are nationally pegged at $34,000 for 11 months.) The stipends provide the selected fellows with unparalleled opportunities to focus on their research.

2024-2025 Doctoral RTG Fellows:

• Emily Bogle

• Austin Nelson

• Justin Valentine

2023-2024 Doctoral RTG Fellows:

• Barry Fadness

• Vicky Haney 

• Sam Reynolds

2022-2023 Doctoral RTG Fellows:

• Vicky Haney 

• Sam Reynolds

• Pieter VandenBerge

Each year, three undergraduate students from the CADES program are selected for support for one summer focused on intensive undergraduate research. 

2024 Undergraduate RTG Fellows:

• Tamara Gratcheva

• Esther Toobian

• Bryttani Nieves

2023 Undergraduate RTG Fellows:

• Tamara Gratcheva

• Madison Ruff 

• Henry Hillebrandt

In the CADES program, selected year-long course sequences are redesigned to reach the research frontier,  so naturally, they are heavy on prerequisites. Each RTG PhD student is required to take at least two of them.  Due to the diversity of topics, not all students are expected to have the prerequisites for these sequences. But students have the opportunity to   gain a headstart on the prerequisities by joining our CADES Summer Bootcamps. Undergraduates are welcome to the bootcamps.

• Summer 2024

  • Pablo Castillo: Numerical Analysis 

  • Victor Rielly: Statistical Learning

• Summer 2023

  • Pieter VandenBerge: Numerical Analysis 

  • Michael Wells: Statistical Learning

• Summer 2022

  • David Lovitz: Statistical Learning

  • Gary Sandine: Optimization

External Internships of doctoral students:

Every CADES RTG PhD student is expected to go for at least two external internships.  The RTG also supports selected undergraduates for external learning opportunities such as the ones provided by the Data Science Summer Institute at Lawrence Livermore National Lab. Recent internships:

1. Austen Nelson, Computing Scholars,  Lawrence Livermore National Lab, CA, Summer 2023

2. Rebecca Bryant, Air Force Research Lab, Kirtland Air Force Base, NM, Summer 2023

3. Melayne Barker, Lawrence Berkeley National Laboratory (Remote), Summer 2023

4. Emily Bogle, Lawrence Berkeley National Laboratory (Remote), Summer 2023

5. Gabriel Pinochet Soto, Computing Scholars,  Lawrence Livermore National Lab, CA, Summer 2023

6. Sam Reynolds, Lawrence Livermore National Lab, CA, Summer 2022

7. Barry Fadness, Lawrence Livermore National Lab, CA, Summer 2022

8. Victor Rielly, Intel Corporation, OR, Summer 2022

9. Rebecca Bryant, Air Force Research Lab, Kirtland Air Force Base, NM, Summer 2022

10. Gabriel Pinochet Soto, Givens Associate, Argonne National Lab, Summer 2022

11. Robyn Reid, Intel Corporation, OR, Fall 2021, Winter 2022

12. Pieter VandenBerge, Air Force Research Lab (Remote), Summer 2021

13. Sam Reynolds, Argonne National Lab (Remote), Summer 2021

External Internships of RTG non-doctoral students:

1. Madison Ruff, summer student, Data Science Summer Institute (DSSI), Class of 2023,  LLNL

2. Henry Hillebrandt, summer student, Data Science Summer Institute (DSSI) class of 2023, LLNL

3. Austen Nelson, Lawrence Livermore National Lab, CA, Summer 2022

• RTG trainees serve regional clients who bring real-world projects into our training. Selected PhD student and postdoc trainees provide consulting services in the CADES Lab together with interested faculty.

• Undergraduate trainees have access to Research Experiences for Undergraduates (REU)  at the REU Site “Computational Modeling Serving the City” directed by engineering faculty Christof Teuscher.

We engage the RTG trainees in the practices of the profession, concerning both teaching and research aspects.

• PhD students in the CADES program are expected to select a leader in the discipline from  outside the university as their external advisor.

• RTG trainees are expected to contribute meaningfully to the research enterprise and actively  disseminate their contributions, evidenced by conference talks and co-authored publications.

• RTG Graduate Fellows must complete at least one year of supervised teaching assignments.

• RTG Postdoctoral Fellows are required to teach one course per term.

• All CADES members are expected to participate in the RTG talks and other academic group events.