Dr. Jacob Adler (he/him)
Assistant Research Professor, ASU
Dr. Jacob Adler runs the Adler Lab group at Arizona State University (ASU). He is an Assistant Research Professor in the School of Computing and Augmented Intelligence (SCAI) and is often engaged with research in the School of Earth and Space Exploration (SESE). His research is focused on characterizing sedimentary environments throughout the solar system, and in particular, understanding surface processes and past habitability.
Mirali Purohit (she/her)
Graduate Student, Computer Science PhD, ASU (2026)
Mirali Purohit is a Ph.D. student, working under guidance of Dr. Hannah Kerner and Dr. Jacob Adler. Mirali's primary research revolves around developing efficient deep learning-based techniques and models for planetary science. Currently, she is focused on constructing a foundational model for Earth and Mars, which can significantly enhance various downstream tasks. She is passionate about leveraging data-driven approaches and applying deep learning models to advance our understanding of planetary science.
Allyson Trussell (she/her)
Graduate Student, Geological Sciences PhD, ASU (2027)
B.S., Geology, California Institute of Technology, 2021
Allyson is a graduate student advised by Dr. Jim Bell and began her Ph.D. at ASU in Fall 2022. Her research focuses on investigating Martian mineralogy and surface processes. She collaborates with Dr. Adler’s group on analyzing the composition of cones on Mars to understand the geological processes that contributed to their formation.
Sharissa Thompson (she/her)
Graduate Student, Planetary Geology PhD, Georgia Tech (2026)
Sai Vikhy Kudhroli (he/him)
Graduate Student, Computer Science MS, ASU (2024)
Sai is a 2nd year CS Masters student at ASU who works on comparing clustering and image segmentation algorithms for automated mapping of alluvial fans. He also works for Dr. George Runger on Natural Language Processing tasks of information validation, summarization and segmentation.
Undergraduate Student, Geoscience, Univ. of Iowa
Alexis used remote sensing and geographic information systems (GIS) tools like JMARS to investigate the extent of mud volcanism on Mars. She created new labeled datasets over a high-resolution CTX basemap, which were used to train a machine learning model to identify similar features in global image data.
Software Engineer, Northrop Grumman Space
M.S. Geospatial Information Science, Univ. of Maryland, 2021
Adam Martin is currently working as a software engineer with work focused on radio systems/signal processing and ground systems and payloads. His capstone research focused on leveraging unsupervised k-means clustering algorithms to study the geological features of Jezero Crater on Mars. The research attempted to determine if machine learning algorithms could reasonably speed up the process of feature classification and visualization in the region.
A. Russ (she/they)
B.S. Physics, Georgia Tech, 2022
Abigail created simulations of mudflows on Earth and Mars using COMSOL Multiphysics software. This was used to corroborate experimental results from within the Mars chamber, and to predict the morphology of mudflows and mud volcanoes on Mars.