Recruiting New Lab Members
The SDSU Climate Informatics Lab continuously recruits
students (both graduate and undergraduate) and visitors
to work on climate data analysis
and visualization, machine learning/AI applications to climate science,
and big data.
US governmental fellowships are available to the qualified US citizens.
The lab students can major in applied math, statistics,
pure math, computational science, computer science,
ecology, geography, or other other climate-related
areas. For more information, please contact
Dr. Sam Shen.
Current Students and Researchers
Danielle Lafarga
Mathew Meier
Sasha Luhnow
Riley Rutan
Lukas Velasco
Anna Wade
Maddie Parker
Maximilliano Ramirez
Kimberly Leung
Abram Burrows
Momtaza Sayd
Michael Albo
Angela Lee
Iman Khadir
Miguel Bravo Martinez Del Valle
Devin Widmer
Jesus Perez Cuarenta
Faculty
Ryan Lafler (SDSU Lecturer and Adjunct Faculty)
Gregori Clarke (SDSU Adjunct Faculty)
Julien Pierret (SDSU Adjunct Faculty)
Barbara Bailey
Samuel Shen
Off-Campus Project Collaborative Faculty
Richard Somerville (SIO/UCSD)
Phil Arkin (Uni. of Maryland)
Tom Smith (NOAA/STAR)
Efi Foufoula-Georgiou (UC-Irvine)
Amy McGovern (University of Oklahoma)
Tony Song (NASA/JPL)
2023: SCIL joins the NSF AI Institute AI2ES as a partner
This is a collaborative project led by Sam Shen in collaboration with Distinguished Professor & Henry Samueli Endowed Chair Efi Foufoula-Georgiou (Co-Principal Investigator) at the University of California-Irvine and Lloyd G. and Joyce Austin Presidential Professor Amy McGovern (Co-Principal Investigator) at Universiyt of Oklahoma.
2014: SCIL joins the NSF EaSM-3 project
This project is led by Professor Yongkang Xue of UCLA in collaboration with Dr. William Parton of Colorado State University
Lab Photos
Former Students and Lab Members (Degree and Completion Year)