Ryan Marcus, future assistant professor at the University of Pennsylvania (Fall '23). Using machine learning to build the next generation of data systems.

      
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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 currently recruiting PhD students for next year.

Email: ryan@ryanmarc.us

News

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

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
Benchmarking Learned Indexes
1. Ryan Marcus
2. Andreas Kipf
3. Alexander Van Renen
4. Mihail Stoian
5. Sanchit Misra
6. Alfons Kemper
7. Thomas Neumann
8. Tim Kraska
VLDB '21 (pdf)

See all ...

Blog Posts

Applying Bao to distributed systems 17 Jun 2021 We can apply Bao, a technique for learned query optimization, to a number of distributed cloud databases ...
Machine learning for systems 06 Jun 2019 A recent groundswell of research has been pushing machine learning into computer systems ...
Good comment, bad comment 05 Nov 2018 A few collected tips on writing readable code ...
Overflow in consistent hashing 14 Sep 2018 Exploring the implications of fixed-capacity machines in consistent hashing schemes ...
Pretty pictures with perlin noise fields 04 Mar 2018 Procedurally generated flurry-like graphics and videos with particle tracing in a Perlin noise field ...
Computer-generated lines with a human feel 23 Oct 2017 Computers can create lines that look hand drawn ...
The often-overlooked random forest kernel 04 Oct 2017 Random forest models can be used to measure the similarity between datapoints. This allows random forests to be used as very effective kernel functions ...

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