I’m an Assistant Professor at IST Austria. My research focuses on concurrent data structures and distributed algorithms, and spans from algorithms and lower bounds, to practical implementations.
Before IST, I was a researcher at ETH Zurich and Microsoft Research, Cambridge, UK. Prior to that, I was a Postdoctoral Associate at MIT CSAIL, working with Prof. Nir ShavitI received my PhD from the EPFL, under the guidance of Prof. Rachid Guerraoui.
My research is supported by a 2018 ERC Starting Grant, a 2016 SNF Ambizione Grant, and generous support from Amazon and Google.

I am also the Machine Learning Research Lead at Neural Magic.

You can find a list of recent projects and publications here.
For student projects, click here.

Open Positions:

  • We have open intern, PhD and postdoc positions as part of the ScaleML ERC Starting Grant project, whose goal is to develop new theory, algorithms, and systems for scalable machine learning. The ideal candidate would have a strong background in CS or Math, with a PhD in CS or a related field. Applicants with experience in  optimization theory or distributed systems implementation are particularly encouraged, although all strong applicants will be given proper consideration.
    For questions about the positions and the application process, please contact me via email at dan.alistarh@ist.ac.at. The application should contain a CV, publication list, a 1-page statement describing motivation and research interests, and, if applicable, links to your publications. 

Recent/future service: 

News:

I am extremely lucky to be able to work with the following students and postdocs:

  • Joel Rybicki (PostDoc @ IST)
  • Janne Korhonen (PostDoc @ IST)
  • Bapi Chatterjee (PostDoc @ IST)
  • Peter Davies (PostDoc @ IST)
  • Giorgi Nadiradze (PhD @ IST)
  • Alexandra Peste (PhD @ IST)
  • Aleksandr Shevchenko (PhD @ IST)
  • Ilya Markov (PhD @ IST)
  • Ahad Baig (PhD @ IST)
  • Nikita Koval (PhD @ ITMO, Researcher at JetBrains)
  • Chris Wendler (PhD @ ETH)

Visitors / Collaborators / Friends of the Lab: 

  • Prof. Faith Ellen (visiting February-May 2020)
  • Prof. Nir Shavit (visiting November 2019)
  • Prof. Thomas Sauerwald (visiting Oct 2019)
  • Prof. Gregory Valiant (visiting Nov 2018)
  • Prof. Robert Tarjan (visiting May 2018)
  • Dr. Frank McSherry (visiting May 2018)
  • Dr. Aleksandar Prokopec (visiting April 2018)
  • Prof. Ce Zhang (ETH)
  • Prof. Markus Pueschel (ETH)
  • Prof. Torsten Hoefler (ETH)

Alumni:

  • Vitaly Aksenov (PostDoc @ IST -> Lecturer @ ITMO)
  • Saleh Ashkboos (Intern @ IST -> PhD @ ETH Zurich)
  • Trevor Brown (PostDoc @ IST -> Assistant Professor @ Waterloo)
  • Antonio Polino (MSc @ ETH -> Google Search)
  • Rati Gelashvili (PhD@MIT, now Algorithms Lead at NeuralMagic)
  • Justin Kopinsky (PhD@MIT, now Engineering Lead at NeuralMagic)
  • Cédric Renggli (MSc Thesis (ETH Medal), with Torsten Hoefler, now PhD@ETH)
  • Nandini Singhal (Intern @ IST -> Microsoft Research)
  • Martin Thoresen (Intern -> PhD @ IST)
  • Amirmojtaba Sabour (Intern @ IST)
  • Amirkeivan Mohtashami (Intern @ IST)
  • Faezeh Ebrahimianghazani (Intern @ IST)
  • Dasha Voronkova (Intern @ IST)
  • Aditya Sharma (Intern @ IST)
  • Arnab Kar (MSc Thesis @ IST -> PhD @ Duke University)
  • Ekaterina Goltsova (ISTern @ IST -> Master’s @ EPFL)
  • Demjan Grubić (MSc, now at Google)
  • Aline Abler (BSc, with Torsten Hoefler)
  • Raphael Kuebler (BSc)
  • Jerry Z. Li (Intern, PhD@MIT -> Microsoft Research)
  • Jenny Iglesias (Intern, PhD@CMU)
  • Syed Kamran Haider (Intern @ MSR, now Researcher @ Qualcomm)
  • Hyunjik Kim (Intern @ MSR -> PhD @ Oxford -> Researcher at DeepMind)