Razieh Nabi

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• [April 2021] Our ICML workshop proposal titled "Neglected Assumptions In Causal Inference" got accepted. I'm co-organizing this workshop with Niki Kilbertus, Uri Shalit, Alex D'Amour, Laura Balzer, and Lily Hu.


• [March 2021] I defended my thesis and got promoted to Dr. Razieh Nabi!


• [Feb 2021] I closed my job search by accepting an offer from the Department of Biostatistics and Bioinformatics at Emory University. (very excited!!!)


• [Nov 2020] My internship work at MSR on Causal Inference In The Presence Of Interference In Sponsored Search Advertising is accepted for presentation at NeurIPS workshop on Causal Discovery and Causality-Inspired ML.


• [Oct 2020] I received a Reviewer Award at the Conference on Neural Information Processing Systems (NeurIPS), awarded to top 10% of high-scoring reviewers at NeurIPS.


• [Sep 2020] I am attending the Grace Hopper Celebration as a GHC Scholar, organized by AnitaB.org for celebration of women in computing. (held virtually)


• [Jun - Aug 2020] I will join Microsoft Research as a research intern this summer.


• [May 2020] My collaborators and I got invited for three talks at ACIC this year.
  (i) Identification In Missing Data Models Represented By Directed Acyclic Graphs,
  (ii) Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables, and
  (iii) Model Selection With Missing Data.
  [postponed to May 2021 due to the pandemic]


• [Apr 2020] With special thanks to Rohit and Jaron, I am pleased to share the public release of our python package ananke-causal for performing causal inference tasks using the language of graphical models. [Documentation] [Gitlab Repository] [Python Package Index]


• [Jan 2020] The introductory course on causal inference that Rohit and I developed and co-instructed in January 2020 got featured in the Hub magazine.


• [Dec 2019] I am attending the SAMSI Causal Inference Workshop, and presenting my work on Identification In Missing Data Models Represented By Directed Acyclic Graphs with Rohit.


• [Aug 2019] I am extremely excited to be joining the Harvard T.H. Chan School of Public Health as a visiting scholar during the Fall quarter, 2019.


• [June 2019] My paper on Learning Optimal Fair Policies got a long oral spot at the International Conference on Machine Learning (ICML-36th), Long Beach, CA. [Video Recording]


• [June 2019] Dan and I presented our work on Learning Optimal Fair Policies at the Decisions, Games and Logic (DGL) Workshop held in Caltech on June 10th, 2019.


• [May 2019] Rohit and I won the Tom Ten Have Award for the best student poster at the 2019 American Causal Inference Conference (ACIC) in Montreal, Canada. . We will present our work on Identification In Missing Data Models Represented By Directed Acyclic Graphs at next ACIC in Austin, Texas, on May 2020. [Poster]


• [Jan 2018] My paper on Fair Inference On Outcomes got the oral spot at Association for the Advancement of Artificial Intelligence Conference (AAAI-32nd), New Orleans, LA, 2018. [Slides].