Ryan Marcus · It's all Frank's Fault!

      
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About Me

I'm Ryan Marcus. I'm using machine learning to build the next generation of data management tools that automatically adapt to new hardware and user workloads, invent novel processing strategies, and understand user intention.

I am especially interested in query optimization, index structures, intelligent clouds, programming language runtimes, program synthesis for data processing, and applications of reinforcement learning to systems problems in general. I am recruiting PhD students.

News

20 Apr 2023Our paper on robust cardinality estimation under dynamic workloads was published at VLDB '23.
15 Sep 2022Our SageDB paper, the first complete data system built with instance optimization as a foundational design principle, was published at VLDB '22.
30 Apr 2022I will be joining the CIS faculty at the University of Pennsylvania in Fall 2023!
15 Jun 2021Our Bao paper, a practical approach to learned query optimization, wins the Best Paper Award at SIGMOD '21.
18 Mar 2021Our paper presenting the first benchmark of learned indexes has been accepted to VLDB '21.

Featured Publications

SageDB: An Instance-Optimized Data Analytics System
1. Jialin Ding
2. Ryan Marcus
3. Andreas Kipf
4. Vikram Nathan
5. Aniruddha Nrusimha
6. Kapil Vaidya
7. Alexander van Renen
8. Tim Kraska
VLDB '22 (pdf)
Bao: Making Learned Query Optimization Practical
1. Ryan Marcus
2. Parimarjan Negi
3. Hongzi Mao
4. Nesime Tatbul
5. Mohammad Alizadeh
6. Tim Kraska
SIGMOD '21 (pdf) best paper award

See all ...

Blog Posts

Fallthrough Sort: Quickly Sorting Small Sets 01 Jul 2013 A technique for sorting small sets using switch statement fallthrough ...
TopNTree: A merge-sort inspired data structure 09 Mar 2013 A data structure that sorts by key but maintains constant-time access to the top k values ...