Five Illinois Computer Science Students Named in the 2023 Siebel Scholars Class | computer science

This year’s Siebel Scholars class included five computer science students from Illinois, in recognition of their commitment to academics and impact in future society.

The Siebel Scholars Foundation has announced the Class of 2023 for Siebel Scholars, honoring nearly 100 students in bioengineering, business, and computer science. From Illinois CS students Gargi Balasubramaniam, Emmanuel Gallegos, Ryan Marten, Samraj Moorjani and Xueqing Wu have been selected for this year’s class.

Through the program, this enormous group brings together diverse perspectives from business, science, and engineering to influence the technologies, policies, and economic and social decisions that shape the future.

“Each year, Siebel Scholars continue to impress me with their commitment to academics and impact in future society. This year’s class is exceptional,” said Thomas M. Siebel, Chairman of the Board of Directors of the Siebel Scholars Foundation, once again representing the best and brightest minds from around the world who develop innovations in healthcare, artificial intelligence, financial services, etc. “It gives me great pleasure to welcome these students into this ever-growing community, and I personally look forward to seeing their impact and contributions unfold.”

According to the Sibel Scholars Foundation, to date, more than 1,700 Siebel Scholars have led innovations in more than a dozen industries, launched more than 1,100 products, authored more than 420 patents, published more than 42 books and more than 3,936 articles or book chapters, and managed Assets of more than $2.8 trillion.

Congratulations to the following Illinois computer science students:

Garji Balsubramaniam

Garji Balsubramaniam
Garji Balsubramaniam

Gargi Balasubramaniam is a second year master’s student working with Professor Han Zhao in the field of Transfer Learning. Balasubramaniam’s research is centered around making machine learning (ML) systems trustworthy and aims to enhance the robustness of ML systems in the real world through field generalization methods rooted in representational learning and causation. Prior to joining UIUC, Balsubramaniam graduated in Gold Medal from BITS Pilani, Goa, India.

Palsubramaniam has contributed in her field through the latest publication in UAI-22 and through research trainings 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 honored for her academic and overall performance with two prestigious national awards – the KC Mahindra Fellowship (awarded to only 4 students in India) and the JN Tata Scholarship.


Emmanuel Gallegos

Emmanuel Gallegos
Emmanuel Gallegos

Emmanuel Gallegos is a graduate student and research assistant at the University of Illinois Urbana-Champaign, working with Dr. Nancy Amato at Parasol Lab on distributed computing for multitasking and motion planning. He received his Bachelor of Science from California State University East Bay in 2020.

His previous work includes publications related to deep learning, computer vision, and thermal imaging for fever detection, with the aim of raising awareness of the situation in relation to Covid-19. Gallegos also worked as a lead software engineer at T’ena Health Technologies, a technology startup led by Dr. Charmaine Hughes with the goal of bringing modern health technologies to underdeveloped nations. His work with T’ena Health Technologies helped the company obtain funding from the COVID-19 Africa Rapid Grant Fund.


Ryan Martin

Ryan Martin
Ryan Martin

Ryan Martin is a Master of Science student in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He is a member of the Hoiem AI Lab, where he recently led a five-person team to create a new standard for evaluating computer vision models across multiple tasks and data sets. Marten is currently a Research Intern at the Allen Institute for Artificial Intelligence where he designs new structures for general purpose vision and language systems.

Previously, Marten received a Bachelor of Science honors degree with distinction in Computer Science from the University of Toronto as a Laidlaw Research and Leadership Scholar. While at the University of Toronto, he completed research projects at the Dickinson Vision Laboratory, the Dynamic Graphics Project Laboratory, and the Vector Institute. Martin was a visiting research intern at Torr Vision Group (University of Oxford) and CSAIL Graphics Group (MIT).


Samraj Moorjani

Samraj Moorjani
Samraj Moorjani

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

Morgani at Facebook Artificial Intelligence Applied Research has worked to improve the classification of multilingual products. Currently, he is a member of the Advertising Privacy and Responsibility team at Meta. He has also worked as a course assistant for Software Design Studio, Algorithms and Computation Models, and Computer 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 at Urbana-Champaign. She is now a member of the BLENDER Laboratory working with Professor Heng Jie. Prior to that, she received her undergraduate degree from the University of Science and Technology of China in 2020.

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

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