Christopher Homan
Associate Professor
Department of Computer Science
Golisano College of Computing and Information Sciences
5857196835
Office Hours
Tuesday 3:15--15pm Thursday 11am--12pm
Office Location
Christopher Homan
Associate Professor
Department of Computer Science
Golisano College of Computing and Information Sciences
Education
AB in Mathematics, Cornell University; MS, Ph.D. in Computer Science, University of Rochester
Bio
Christopher M. Homan's research centers around novel machine learning algorithms to enable qualitative methods such as grounded theory to study human behavior on scales that were previously unimaginable, through (1) close, participatory collaboration, with public and community health experts on issues such as intimate partner violence, suicide and depression, and labor, with a special focus on under-resourced and hidden communities; he is particularly interested in computer-based linguistic and network analysis, and has published in top conferences devoted to both modalities; (2) investigating basic questions in machine learning and data science raised by his interdisciplinary activities.
5857196835
Areas of Expertise
Artificial Intelligence
Natural language processing
Data science
Machine learning
Medical informatics
Theory
Select Scholarship
Published Conference Proceedings
Aroyo, Lora, et al. "Diversity in Conversational AI Evaluation for Safety." Proceedings of the Neurips. Ed. Alice Oh, Tristan Naumann. New Orleans, LA: n.p., 2024. Web.
Spann, James, Pratik Sanjay Bongale, and Christopher M Homan. "(Un) certainty selection methods for Active Learning on Label Distributions." Proceedings of the OPT 2023: Optimization for Machine Learning. Ed. Cristóbal Guzmán. New Orleans, LA: n.p., 2024. Web.
Weerasooriya, Tharindu Cyril, et al. "Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning." Proceedings of the ACL. Ed. Yang Liu. Toronto, CA: CA, 2023. Web.
Journal Paper
Lytle, Megan C., et al. "Suicidal and Help-Seeking Behaviors Among Youth in an Online Lesbian, Gay, Bisexual, Transgender, Queer, and Questioning Social Network." Journal of Homosexuality 65. 13 (2018): 1916– 933. Print.
Homan, Christopher M. and Sven Kosub. "Dichotomy results for fixed point counting in boolean dynamical systems." Theoretical Computer Science 573. (2015): 16—25. Print.
DiFonzo, Nicholas, et al. "Network Structure Moderates Intergroup Differentiation of Stereotyped Rumors." Social Cognition 32. 5 (2014): 409-448. Print.
Invited Keynote/Presentation
Lytle, Megan C., et al. "Suicidal and Help-Seeking Behaviors Among an Online Lesbian, Gay, Bisexual, and Transgender Social Network." 47 Annual Conference of the American Association of Suicidology. American Association of Suicidology. Los Angeles, CA. 9 Apr. 2014. Conference Presentation.
Book Chapter
Homan, C. and V. Silenzio. "Social Networking Services and Analysis." Social Net-working: Recent Trends, Emerging Issues and Future Outlook. Hauppauge, NY: Nova Science Publishers, 2013. 74-100. Print.
Currently Teaching
CSCI-331
Introduction to Artificial Intelligence
3 Credits
An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. Topics include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course.
CSCI-464
Xtreme Theory
3 Credits
A fast paced, informal look at current trends in the theory of computing. Each week is dedicated to a different topic and will explore some of the underlying theory as well as the practical applications of the theory. Sample topics may include: quantum cryptography, networks and complex systems, social welfare and game theory, zero knowledge protocols. Students will be evaluated on homework assignments and a final presentation. Offered every other year.