Bio

Adam Coscia is a Tenure-Track Assistant Professor in the School of Computing at Stevens Institute of Technology and member of the Stevens Institute for Artificial Intelligence (SIAI). He received his Ph.D. in Human-Centered Computing from the Georgia Institute of Technology and holds a B.S. in Physics from Stevens. His research helps people make sense of complex data through the design of interactive systems and visualizations. He has designed and deployed his tools for intelligence analysis, robotics, healthcare, and education, in collaboration with researchers, analysts, educators, and scientists at the NSF AI Institute for Adult Learning and Online Education, National Security Agency, MIT Lincoln Laboratory, NASA Jet Propulsion Laboratory, Adobe Research, the NC State Laboratory for Analytic Sciences, and the Monterey Bay Aquarium Research Institute. His work appears at premier HCI and visualization venues, including ACM CHI, ACM UIST, ACM IUI, IEEE VIS, and IEEE TVCG, and has received a best paper award and three best poster awards. He was also a finalist for the Foley Scholars Award and a recipient of Georgia Tech's President's Fellowship. He serves on the Organizing and Program Committees for both IEEE VIS and PacificVis.

Employment

2026 - present
Assistant Professor (Tenure-Track)
School of Computing, Stevens Institute of Technology, Hoboken, NJ
Building visual analytics, human-centered artificial intelligence, and data science tools to solve pressing human-centered, data-driven problems.
2020 - 2026
Graduate Research Assistant
School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA
Visual Analytics Lab; advisor Alex Endert. Developed interactive visual analytics tools combining information visualization, machine learning, and human-computer interaction.

Education

May 2026
Ph.D. in Human-Centered Computing
Georgia Institute of Technology, Atlanta, GA
Committee: Alex Endert (advisor), Duen Horng (Polo) Chau, Cindy Bearfield-Xiong, Yalong Yang, Scott Crossley
May 2020
B.S. in Physics
Stevens Institute of Technology, Hoboken, NJ
Minors: Mathematics, Computer Science. GPA 3.98/4.00. Pinnacle Scholars; first in class (Physics).

Awards and Honors

2026
VAST Challenge @ IEEE VIS Best Paper, Honorable Mention
For “AgentK: Investigation of Multi-Agent LLM Dialogue via Semantic Bundling of Knowledge Graphs”
2025
Sigma Xi Scientific Research Honor Society
Inducted as a lifetime member.
2025
CRIDC Best Poster Award
For “VisPile: Incorporating Knowledge Graphs and Large Language Models into Visual Text Analysis Tools”
2024
Georgia Tech Foley Scholar Award Finalist
Awarded to top graduate students shaping the future of how people interact with and value technology.
2023
CRIDC Best Poster Award
For “KnowledgeVIS: Visualizing What Language Models Have Learned”
2021
CRIDC Best Poster Award
For “Lumos: Increasing Awareness of Biases during Visual Data Analysis”
2020
Georgia Tech President's Fellowship
Four-year semesterly stipend award; selected upon admission from top 10% of applicant pool.
2020
Stevens Alfred M. Mayer Prize
Awarded to the senior ranked first in all physics courses taken during their undergraduate career.
2019
Sigma Pi Sigma Physics Honor Society
Inducted as a lifetime member by the American Institute of Physics.
2018
Stevens Distinguished Teaching Assistant
Awarded to the student faculty member nominated for creating an outstanding classroom environment.
2016
Stevens Presidential Scholarship
Four-year, half-tuition award; selected for academic excellence in high school.

Publications

Conference
C9
Less Is More: Balancing Positive and Negative Space in Visual Concept Blending.
Shishi Xiao, Adam Coscia, David H. Laidlaw.
ACM Symposium on User Interface Software and Technology (UIST), 2026.
C8
DraftMarks: Enhancing Transparency in Human-AI Co-Writing Through Interactive Skeuomorphic Process Traces.
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam.
ACM Conference on Human Factors in Computing Systems (CHI), 2026.
C7
VisPile: A Visual Analytics System for Analyzing Multiple Text Documents With Large Language Models and Knowledge Graphs.
Adam Coscia, Alex Endert.
Hawaii International Conference on System Sciences (HICSS), 2026.
CRIDC Best Poster Award, 2025
C6
OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models.
Adam Coscia, Shunan Guo, Eunyee Koh, Alex Endert.
ACM Symposium on User Interface Software and Technology (UIST), 2025.
C5
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy.
Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Chris MacLellan, Alex Endert.
International Conference on Advanced Visual Interfaces (AVI), 2024.
C4
DeepSee: Multidimensional Visualizations of Seabed Ecosystems.
Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, Victoria J. Orphan.
ACM Conference on Human Factors in Computing Systems (CHI), 2024.
C3
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries.
Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott Crossley, Alex Endert.
ACM Conference on Intelligent User Interfaces (IUI), 2024.
C2
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases.
Emily Wall, Arpit Narechania, Adam Coscia, Jamal Paden, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021), 2022.
C1
Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis.
Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021), 2022.
CRIDC Best Poster Award, 2021
Journal
J2
Preliminary Guidelines for Combining Data Integration and Visual Data Analysis.
Adam Coscia, Ashley Suh, Remco Chang, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
J1
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts.
Adam Coscia, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
CRIDC Best Poster Award, 2023
Workshop
W3
Targeted and Traceable Investigation of Multi-Agent LLM Dialogue via Semantic Bundling of Knowledge Graphs.
Zeyu Hua, Adam Coscia, Alex Endert.
VAST Challenge at IEEE VIS, 2026.
VAST Challenge Honorable Mention, 2026
W2
LLM Prompt Evaluation for Educational Applications.
Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, Wesley Morris.
Workshop on Epistemics and Decision-Making in AI-Supported Education at AIED, 2025.
W1
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics.
Adam Coscia, Duen Horng (Polo) Chau, Alex Endert.
Workshop on TRust and EXpertise in Visual Analytics (TREX) at IEEE VIS, 2020.

Invited Talks and Demos

Collaborative Sensemaking with AI in Visual Analytics
Oct 2026
Montclair State University
Apr 2026
Emory University
Oct 2025
Brown Visual Computing Seminar, Brown University
Oct 2025
University of Massachusetts Boston
Oct 2025
University of Massachusetts Amherst
Oct 2025
Johns Hopkins University
Jul 2025
MIT Lincoln Laboratory
Detecting and Mitigating Pedagogical Risks in LLMs with Visual Analytics
Jul 2025
Tufts University
Apr 2025
Apr 2024
NSF AI Institute AI-ALOE Showcase, Georgia Institute of Technology
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
Oct 2024
Invited Journal Paper Talk, IEEE Visualization Conference (VIS)
Preliminary Guidelines for Combining Data Integration and Visual Data Analysis
Oct 2024
Invited Journal Paper Talk, IEEE Visualization Conference (VIS)
Visualizing What Large Language Models Have Learned
Mar 2023
GVU Demo Day, Georgia Institute of Technology

Grants and Funding

2026
Agentic Visual Data Analysis: Knowledge Graph Synthesis using LLMs
Laboratory for Analytic Sciences, North Carolina State University
Co-PI: Alex Endert. One-year funding (full tuition + graduate stipend).
2025
Enabling Continuous Analytic Dialogues in Visual Analytics with LLMs and Knowledge Graphs
Laboratory for Analytic Sciences, North Carolina State University
Co-PI: Alex Endert. One-year funding (full tuition + graduate stipend).
2024
Incorporating Knowledge Graphs and Large Language Models into Visual Text Analysis Tools
Laboratory for Analytic Sciences, North Carolina State University
Co-PI: Alex Endert. One-year funding (full tuition + graduate stipend).
2018
Correlating Long-Term Innovation with Success in Career Progression
Pinnacle Scholar Summer Institutional Research Program, Stevens Institute of Technology
Co-PI: Aron Lindberg. Funded $5000 for research expenses and living stipend.
2017
Managing Simulations of Ion Channeling in Single Crystals
International Summer Abroad Internship Program, Katholieke Universiteit Leuven
Co-PI: Lino da Costa Pereira. Funded €3000 from KU Leuven and $5000 from Stevens.

Teaching

Spring 2027
CS 538: Data Visualization
Stevens Institute of Technology, Hoboken, NJ
Instructor.
Fall 2022, Fall 2025
Graduate Teaching Assistant, CS 6730: Data Visualization Principles
Georgia Institute of Technology
Instructor: Alex Endert. Assisted with lectures, grading, and team projects; held office hours.
2018 - 2020
Course Assistant, PEP 112S: Honors Electricity & Magnetism
Stevens Institute of Technology
Semesterly. Instructor: Christopher Search. Assisted with grading, reviews, worksheets, and testing material preparation.
2018 - 2020
Course Assistant, PEP 112: Electricity & Magnetism
Stevens Institute of Technology
Semesterly. Instructor: Robert Pastore. Ran 3-hour exam reviews for an average class of 200 students.
2017 - 2020
Teaching Assistant, CS 105: Intro to Scientific Computing
Stevens Institute of Technology
Semesterly. Instructor: Dimitrios Damopoulos. Taught 15-25 students in weekly MATLAB labs; helped develop course materials.

Advising

Masters Students
Research Advisor
Xinge (Eve) Zhang, Urban Spatial Analytics MS, UPenn.
2026 - present.
Undergraduate Students
Research Advisor
Astha Shah, CS BS, Tufts.
2026 - present.
Meng Lincoln Ngy Tang, CS BS, Stevens.
2026 - present.

Service and Associations

Program Committee
IEEE VIS Short Papers 2026
IEEE Pacific Visualization Conference (PacificVis) Short Papers 2026 - 2027
VISxGenAI Workshop @ IEEE VIS 2026
VAxAutoSci Workshop @ IEEE VIS 2026
Organizing Committee
IEEE Visualization Conference (VIS), Tech Chair 2026
ACM Symposium on User Interface Software and Technology (UIST), Student Volunteer 2025
Reviewer
IEEE Visualization Conference (VIS) 2022 - 2026
IEEE Pacific Visualization Conference (PacificVis) 2025 - 2027
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2022 - 2026
IEEE Computer Graphics and Applications (CG&A) 2026
EuroVis Conference (EuroVis) 2023 - 2026
ACM Conference on Human Factors in Computing Systems (CHI) 2024 - 2027
ACM Symposium on User Interface Software and Technology (UIST) 2025 - 2026
ACM Conference on Intelligent User Interfaces (IUI) 2026 - 2027
ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2025
ACM Transactions on Interactive Intelligent Systems (TIIS) 2024, 2026
Hawaii International Conference on System Sciences (HICSS) 2026
Human-Computer Interaction (HCI) 2026
Computer Graphics Forum (CGF) 2026
Computers and Graphics (C&G) 2025
Visual Informatics 2025
Outstanding Reviews
IEEE VIS 2023, 2026
ACM CHI 2024, 2025
ACM IUI 2026
Societies
Sigma Xi Scientific Research Honor Society since 2025
IEEE Computer Society since 2025
Association for Computing Machinery (ACM) since 2023
Special Interest Group on Computer-Human Interaction (SIGCHI) since 2023
Sigma Pi Sigma Physics Honor Society lifetime
American Physical Society (APS) 2016 - 2020

Programs and Outreach

2025 - 2026
Mentor
Georgia Institute of Technology
Paired one-on-one with a graduate student to help them adjust to grad school.
2022 - 2023
Mentor
Encouraging Women Across All Borders (EWAAB)
Met monthly one-on-one with students on professional advice
job applications
and discovering new fields.
2017 - 2019
Mentor
Stevens Institute of Technology
Mentored 4-6 honors freshmen each year on internships
classes
international experiences
and campus resources.

Student Mentoring

Ph.D.
Zeyu (Abigail) Hua, CS PhD, Georgia Tech.
2026.
Developing new LLM-powered algorithms for analyzing and visualizing knowledge graphs.
Sujata Duwal, HCC PhD, Georgia Tech.
2025 - 2026.
Studying trust in decision-making when visualizing LLMs used in education.
Masters
Jennifer Chandran, HCI MS, Georgia Tech.
2025.
Created an LLM-augmented pipeline that automatically transforms document sets for data analysis.
Ben Klassen, Analytics MS, Georgia Tech.
2024 - 2025.
Developed data science tools that leverage LLMs to enhance intelligence in classrooms and sports analytics.
Sean Ru, CS MS, Georgia Tech.
2024.
Created LLM-based algorithms that embed data visualizations for improved searchability.

Research Internships

Summer 2025
AI Research Lead, Artificial Intelligence Group
MIT Lincoln Laboratory, Lexington, MA
Advisors: Ho Chit Siu, Rohan Paleja. Developed visual analytics interfaces for human-in-the-loop decision-making in human-machine teaming.
Summer 2024
Machine Learning Research Lead, AI Experiences Lab
Adobe Research, San Jose, CA
Advisors: Shunan Guo, Eunyee Koh. Built a chat interface to improve sensemaking of conversational LLM responses.
Summer 2023
Machine Learning Research Lead, Human-Interfaces Group
NASA Jet Propulsion Laboratory (JPL), Pasadena, CA
Advisors: Scott Davidoff, Tiago Vaquero. Developed automated science planning for planetary missions using a novel demonstration paradigm. See ReRank.
Summer 2021
Computer Science Lead, Data to Discovery Program
NASA Jet Propulsion Laboratory (JPL), Pasadena, CA
Advisors: Scott Davidoff, Santiago Lombeyda, Hillary Mushkin, Maggie Hendrie. Built interactive visualizations linking 2D maps and 3D views of seafloor sediment cores.
2018 - 2020
Undergraduate Research Assistant, School of Information Systems and Architecture
Stevens Institute of Technology, Hoboken, NJ
Advisors: Aron Lindberg, Amir Gandomi. Built a statistical model in Python linking evolutionary trajectories of digital artifacts to performance outcomes.
Summer 2017
Visiting Research Scholar, Department of Physics and Astronomy
Katholieke Universiteit Leuven, Leuven, Belgium
Advisors: Lino da Costa Pereira, Tiago Abel de Lemos Lima. Built a data visualization interface in Python for ion channeling simulations.

Industry Internships

Summer 2020
Machine Learning / Operations Intern, Center for Data Science and Artificial Intelligence
New York Life Insurance Company, New York, NY
Supervisor: Paul Janis. Engineered feature extraction pipelines and model-monitoring reports.
Summer 2019
Data Platform Engineering Intern, Center for Data Science and Analytics
New York Life Insurance Company, New York, NY
Supervisor: Paul Janis. Built scalable programs and data-handling procedures on low-level data lake tools.

Press

Apr 2026
This New Tool Makes AI's Role in Student Writing Visible
Tess Malone, Georgia Tech Office of Research
Feb 2025
CRIDC 2025 Awards $40,000 to competition winners
Brittani Hill, Georgia Tech Office of Graduate and Postdoctoral Education
Nov 2024
Foley Scholars 2024 Winners and Finalists
Walter Rich, Georgia Tech Office of Research
Jul 2024
Visualization Tool Helps Oceanographers Predict Sediment Sample Hotspots
Nathan Deen, Georgia Tech School of Interactive Computing
Apr 2023
Nov 2021
DeepSEE: A Virtual Window Under the Waves
Serg Parra, Schmidt Ocean Institute