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. 

Adler CV

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.

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.

Contact: atrussell@asu.edu

B.S., Geology, Salem State University, 2021

Sharissa is a 2nd year graduate student advised by Dr. Frances Rivera-Hernández, and a member of the PLANETAS lab. Her current research is in experimental and analogue work of sedimentary transport processes for Mars.

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.

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. 

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.

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.