Five Illinois CS Students Named to 2023 Siebel Scholars Class | Computer Science


Siebel Scholar's 2023 class graphic featuring the five Illinois CS students and their portraits.
This year’s class of Siebel Scholars included five CS students from Illinois, recognizing their commitment to academics and their impact on future society.

The Siebel Scholars Foundation announced its 2023 Siebel Scholars class, which honors nearly 100 students in bioengineering, business administration and computer science. From Illinois CS, students Gargi Balasubramaniam, Emmanuel Gallegos, Ryan Marten, Samraj Moorjani and Xueqing Wu were accepted into this year’s class.

Through the program, this impressive group brings together diverse perspectives from business, science and technology to influence the technologies, policies and economic and social decisions that are shaping the future.

“The Siebel grantees amaze me each year with their commitment to science and influencing future society. This year’s course is exceptional and once again represents the best and brightest from around the world driving innovation in healthcare, artificial intelligence, financial services and more,” said Thomas M. Siebel, Chair of the Siebel Scholars Foundation. “It is my pleasure to welcome these students to this ever-expanding, lifelong community, and I personally look forward to seeing their impact and contributions unfold.”

To date, according to the Sibel Scholars Foundation, the more than 1,700 Siebel Scholars have driven innovation in over a dozen industries, brought more than 1,100 products to market, authored more than 420 patents, published and maintained more than 42 books, and more than 3,936 articles or book chapters a fortune of more than $2.8 trillion.

Congratulations to the following CS students from Illinois:

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Gargi Balasubramaniam

Gargi Balasubramaniam
Gargi Balasubramaniam

Gargi Balasubramaniam is a 2nd year MS student collaborating with Prof. Han Zhao on Transfer Learning. Balasubramaniam’s research revolves around making machine learning (ML) systems trustworthy and aims to improve the robustness of ML systems in the real world through domain generalization methods based on representation learning and causality. Before joining UIUC, Balasubramaniam graduated as a Gold Medalist from BITS Pilani, Goa, India.

Balasubramaniam has contributed to her field with a recent publication at UAI ’22 and through research internships at the Technical University of Munich in Germany and American Express ML and AI. Gargi previously worked at Microso and is currently an intern at Meta Reality Labs. She has been awarded 2 prestigious national awards for her academic and multifaceted achievements – the KC Mahindra Fellowship (awarded to only 4 students in India) and the JN Tata Fellowship.


Emmanuel Gallegos

Emmanuel Gallegos
Emmanuel Gallegos

Emmanuel Gallegos is a graduate student and research associate at the University of Illinois Urbana-Champaign working with Dr. Nancy Amato at the Parasol Lab on distributed computing for multi-agent task and movement planning. In 2020 he received his Bachelor of Science degree from California State University East Bay.

His previous work includes publications on deep learning, computer vision and thermal imaging for fever detection with the aim of increasing situational awareness related to Covid-19. Gallegos also worked as Lead Software Engineer for T’ena Health Technologies, a technology startup led by Dr. Charmayne Hughes with the aim of bringing modern health technologies to underdeveloped countries. His work with T’ena Health Technologies helped the company receive funding from the COVID-19 Africa Rapid Grant Fund.

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Ryan Marten

Ryan Marten
Ryan Marten

Ryan Marten is a Masters of Science student in the Department of Computer Science at the University of Illinois Urbana-Champaign. He is a member of the Hoiem AI Lab, where he recently led a five-person team to create a new benchmark for evaluating computer vision models across multiple tasks and datasets. Marten is currently a research intern at the Allen Institute for Artificial Intelligence, where he designs new architectures for universal vision and language systems.

Previously, Marten received an Honors Bachelor of Science with Distinction in Computer Science from the University of Toronto as a Laidlaw Leadership and Research Scholar. While at the University of Toronto, he completed research projects at the Dickinson Vision Lab, Dynamic Graphics Project Lab, and Vector Institute. Marten has been a visiting scholar at the Torr Vision Group (University of Oxford) and the CSAIL Graphics Group (MIT).


Samraj Moorjani

Samraj Moorjani
Samraj Moorjani

Samraj Moorjani is an aspiring master’s student in the Department of Computer Science at the University of Illinois Urbana-Champaign. His main research interests lie in using natural language generation to combat misinformation and make scientific knowledge more accessible. He is currently working with Professor Hari Sundaram on natural language generation for persuasive text. He is also conducting research with Professor Wen-mei Hwu on integrating a faster sparse matrix multiplication kernel into PyTorch to speed up inference on large language models.

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Moorjani worked at Facebook Artificial Intelligence Applied Research to improve multilingual multimodal product classification. He is currently a member of the Ad Privacy and Responsibility team at Meta. He has also served as a course assistant for Software Design Studio, Algorithms and Models of Computation, and Computational Advertising.


Xueqing Wu

Xueqing Wu
Xueqing Wu

Xueqing Wu is a first-year master’s student in the Department of Computer Science at the University of Illinois Urbana-Champaign. She is now a member of the BLENDER lab and collaborates with Prof. Heng Ji. Previously, she received her bachelor’s degree from the University of Science and Technology of China in 2020.

Her research interests lie in knowledge-aware natural language processing, information extraction, and generative language models. She has three publications as first author at top conferences (ICML2021, ACL2022, NAACL2022) and six publications in total. She also has extensive industry experience including internships at Microsoft Research Asia (2019-2020), ByteDance AI Lab (2020-2021) and IBM Research (this summer).



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