Prof. Ryan Marcus — Research Profile
University of Pennsylvania · Computer and Information Science
Graduate application deadlines
Computer and Information Science
Computer and Information Science, Ph.D.
Fall 2027Application deadline
Dec 15, 2026 23:59 EST
Computer & Information Science, MSE
Fall 2027Early Application Deadline
Nov 1, 2026
Closed
Application deadline
Regular Application Deadline
Feb 1, 2027
Source: gradadm.seas.upenn.eduChecked Nov 2, 2026
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Prof. Ryan Marcus at University of Pennsylvania Computer and Information Science lists Machine Learning and Artificial Intelligence, Data Science and Discovery Platforms, ML and Agentic Systems, Neurosymbolic Systems, Databases as their registered research area.
Research keywords
Recent papers
- Correctness Firewalls for Synthesized Database ComponentsNewPreprintarXiv (Cornell University) · Nov 3
- SEFRQO-Plus: a self-evolving query optimizer via large language models and retrieval-augmented generationThe VLDB Journal · Oct 15
- Join Order Enumeration and Optimization for Double-Star and Helix Join GraphsPreprintarXiv (Cornell University) · Oct 10
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Advanced Database Systems and Queries
Tim Kraska Lab
Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science
JetStream: Generating Verified Query Accelerators for Existing Database SystemsPreprintarXiv (Cornell University) · Oct 14Vyas Sekar Lab
Carnegie Mellon University · Electrical and Computer Engineering
TurboProm: Low Cost and High Performance Metrics Observability at ScalePreprintarXiv (Cornell University) · Oct 10Ion Stoica Lab
University of California, Berkeley · Electrical Engineering and Computer Sciences
What Happens When the Model Eats the Stack? Rethinking the Research Agenda for Data Agents to Withstand the Bitter LessonPreprintarXiv (Cornell University) · Sep 2
Other labs in this department
- Aaron Roth Lab
Machine Learning and Artificial Intelligence, Algorithmic Fairness, Data Privacy, AI Incentives, Computational Social Science, Algorithms and Computational Complexity
- Andreas Haeberlen Lab
Algorithmic Fairness, Data Privacy, AI Incentives, Distributed Systems, Networks, Operating Systems, Computer Security and Cryptography
- Andrew Head Lab
Human-Computer Interaction
- Anindya De Lab
Algorithms and Computational Complexity
- Benjamin C. Lee Lab
Machine Learning and Artificial Intelligence, Computer Architecture and Quantum Computing Systems
- Benjamin C. Pierce Lab
Data Science and Discovery Platforms, ML and Agentic Systems, Neurosymbolic Systems, Databases, Algorithmic Fairness, Data Privacy, AI Incentives, Compilers and Program Analysis, Computer Security and Cryptography, Formal Methods and Logic, Programming Languages