Computing, Analytics, and Modeling
Twenty-Four Students Selected for Exclusive Training at EMSL
Graduate students, postdocs will attend on-site tutorials on artificial intelligence, machine learning during EMSL Summer School

Twenty-four people were selected to attend EMSL Summer School (July 7-11) at the Environmental Molecular Sciences Laboratory. (Graphic by Genoa Johnson | Environmental Molecular Sciences Laboratory)
Updated June 26
The Environmental Molecular Sciences Laboratory (EMSL) selected 24 graduate students and postdoctoral researchers for exclusive weeklong training at the Department of Energy, Office of Science, user facility.
The training will take place each afternoon during EMSL Summer School (July 7–11). Morning EMSL Summer School sessions are open to the public to attend online at no cost and will feature presentations on the fundamentals of artificial intelligence and machine learning (AI/ML), large language models (LLMs), and the use of LLMs to create semiautonomous software agents to accelerate fundamental biological and environmental research. Sessions also will highlight how AI-based agents enable better utilization of emerging laboratory automation capabilities.
Meet the selected students and postdocs.
Aino-Elina Kuusimäki
Aalto University
PhD student
Area of study and research focus: Fungal biotechnology
Amanda Bataycan
University of Texas at El Paso
PhD student
Area of study: Computational science and bioinformatics
Research focus: Identifying geochemical variability and geogenic carbon
Amanda Whitley
Texas Christian University
Graduate student
Area of study: Geochemistry
Research focus: Identifying geochemical variability and geogenic carbon in the subsurface using AI and thermal analysis techniques
Avinash Dhar
Colorado State University
PhD student
Area of study: Air microbiome
Beatrice Bock
Northern Arizona University
PhD candidate
Area of study: Biology
Research focus: Plant–fungus symbioses
Cassandra Collins
University of California, Davis
Graduate student
Area of study: Soils and biogeochemistry
Research focus: Developing high-resolution microscopy and field-based imaging methodologies to visualize and quantify micro- to macroscale processes, with particular emphasis on biologically mediated mineral weathering and soil aggregation in coastal temperate rainforest soils
Chandan Kumar
University of Texas at Austin
PhD candidate
Area of study: Plant biology
Research focus: Exploring the epigenetic landscape in C4 perennial grasses
Christian Chukwujindu
Florida Agricultural and Mechanical University
Postdoctoral researcher
Area of study: Chemical engineering
Research focus: Machine learning of bioremediation
Ethan Nowaski
University of California, Riverside
PhD student
Area of study: Math
Research focus: Multiscale mathematical modeling of physical and biological systems
Ethiopia Bisrat Zeleke
Florida International University
PhD student
Area of study: Earth systems science
Research focus: Hydrological modeling of drought propagation
Georgina Canto Encalada
San Diego State University
PhD student
Area of study: Metabolic modeling
Research focus: Metabolic model reconstruction of different eukaryotic and prokaryotic organisms
Isa Elabor
Florida A&M University
PhD student and research assistant
Area of study: Environmental science
Research focus: Biomonitoring and remediation of heavy metals using mycotechnology
Iyanu Oduwole
University of Tennessee Knoxville
Graduate research assistant
Area of study: Genomics science and technology
Research focus: Applying machine learning in microbiology
Janis Shin
University of Washington
PhD student
Area of study: Molecular engineering and sciences
Research focus: Metabolic modeling
Khoi Nguyen Vo
University of California, Riverside
PhD student
Area of study: Mathematical biology
Research focus: Multiscale modeling using subcellular and agent-based methods
Maria Jimenez Velasco
The University of Texas at El Paso
Master’s student in Bioinformatics
Area of study and research focus: Tumor mutation burden with an emphasis on automating data extraction processes, performing statistical analyses, and developing predictive models using machine learning and deep learning techniques
Morgan Christensen
Utah State University
PhD student
Area of study: Biological engineering
Research focus: Understanding oxidative stress through flow cytometry and Raman spectroscopy with the application of machine learning
Saad Naseem
Lawrence Berkeley National Laboratory
Postdoctoral fellow
Area of study and research focus: Metabolic engineering of bacteria to convert biomass to biofuel
Sanjog Kharel
University of Nebraska-Lincoln
Graduate student
Area of study and research focus: Computational biology
Siddhartha Shankar Bhattacharyya
Texas A&M University
PhD candidate
Area of study: Soil microbiology
Research focus: Soil–plant–microbe interactions in regenerative agriculture in semiarid Texas
Sining Niu
Texas A&M University
PhD candidate
Area of study: Atmospheric sciences
Research focus: Atmospheric organic aerosols
Xiaolei Xu
Texas A&M University
PhD student
Area of study: Chemical oceanography
Research focus: The cycling of dissolved organic matter in the coastal ocean and high-resolution mass spectrometry for organic molecule characterization
Yifan Wang
The University of Texas at El Paso
PhD candidate
Area of study: Data science/bioinformatics
Research focus: Computational methods including protein language models for post-translational modifications
Julia Kirpich
Georgia Tech
Postdoctoral fellow
Area of study and research focus: Metabolomics of cell-free systems