Nastaran Okati
Scholar

Nastaran Okati

Google Scholar ID: 3ETK8Z8AAAAJ
PhD Candidate, Max Planck Institute for Software Systems (MPI-SWS)
Human-Centered MLArtificial IntelligenceMachine Learning
Citations & Impact
All-time
Citations
382
 
H-index
7
 
i10-index
7
 
Publications
12
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Won the IEEE Best Student Paper Award at POPL for 'Efficient Parameterized Algorithms for Data Packing' (with Amir Goharshady).
  • First place in iNTUition 2017 hackathon at NTU Singapore with Mahdi Abolfazli.
  • Selected for the Heidelberg Laureate Forum in 2018.
  • Participated in the Machine Learning Summer School (MLSS) in Okinawa in 2023.
  • Published multiple papers at top-tier conferences including NeurIPS 2025, NeurIPS 2024, ICML 2023, and AAAI 2021 on human-AI teams, fairness, conformal prediction, and triage-based learning.
Research Experience
  • Interned at Meta during her PhD, working with Niek Tax and Daniel Haimovich on multicalibration of ML models.
  • Visited Amazon, collaborating with Dominik Janzing on causal root-cause analysis of outliers.
  • Interned at IST Austria during undergrad with Amir Goharshady and Krishnendu Chatterjee.
  • Interned at the Institute of Computational Perception, JKU Linz, with Hamid Eghbal-Zadeh and Gerhard Widmer.
  • Awarded the Singapore International Pre-Graduate Award (SIPGA) in 2017 to visit A*STAR Bioinformatics Institute, working with Cheng Li.