Nimar Arora, Curriculum Vitae

AI/ML Lead, DevRev Inc.
co-Founder, Bayesian Logic Inc.

Education

Ph.D., Computer Science, University of California, Berkeley, 2006 - 2012
M.S., Computer Science, University of Texas, Austin, 1996 - 1998
B.Tech., Computer Science, Indian Institute of Technology, Kanpur, 1992 - 1996

Employment history

2020-2023, Head of AI and Analytics, DevRev Inc.
2018-2020, Research Scientist, Facebook
2015-2017, Architect, Machine Zone (MZ)
2012-present, co-Founder, Bayesian Logic Inc.
1998-2014, Principal Member of Technical Staff, Oracle Inc.

Honours and Awards

Mitchell Prize, 2014 (American Statistical Association and the International Society for Bayesian Analysis)
Outstanding Student Paper Award, 2011 (American Geophysical Union Fall Meeting)

Invited Speaker/Panelist

Panelist, Science and Technology Conference, 2021
Invited Speaker, Probabilistic Invariant Generation Group @ TU Wien, 2020.
Panelist, PROBROG Conference, 2020.
Panelist, American Geophysical Union, 2017

Key Projects

Conference Reviewer

NeurIPS (top-400 reviewer)

ICML

UAI

AAAI

AISTATS

ICLR

AABI

PROBPROG

Selected Publications

Geeta Arora, Nimar Arora, et al.Importance Sampling-Based Estimate of Origin Error in NET-VISA, Pure And Applied Geophysics 2022.

Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar Arora, Udi Weinsberg, Michael Tingley. Crowdsourcing with Contextual Uncertainty , ACM SIGKDD 2022

Feynman Liang, Nimar Arora, et al. Accelerating Metropolis-Hastings with Lightweight Inference Compilation, AISTATS 2021.

Narjes Torabi, Nimar Arora, et al. Uncertainty Estimation For Community Standards Violation In Online Social Networks, under review.

Nazanin Khosravani Tehrani, Nimar Arora, et al. Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference. The 10th International Conference on Probabilistic Graphical Models. 2020..

Ronan Le Bras, Nimar Arora, Noriyuki Kushida, et al. NET-VISA from Cradle to Adulthood. A Machine-Learning Tool for Seismo-Acoustic Automatic Association. Pure Appl. Geophys. (2020).

PPLBench: Evaluation Framework For Probabilistic Programming Languages. PROBPROG 2020.

Nimar Arora, Nazanin Khosravani Tehrani, Kinjal Divesh Shah, Michael Tingley, Yucen Lily Li, Narjes Torabi, David Noursi, Sepehr Akhavan Masouleh, Eric Lippert, and Erik Meijer. Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC. Advances in Approximate Bayesian Inference 2019 (also in StarAI 2020).

Pierrick Mialle, David Brown, and Nimar Arora. Advances in operational processing at the international data centre. In Infrasound Monitoring for Atmospheric Studies, pp. 209-248. Springer, Cham, 2019.

Jessica Ai, Nimar S. Arora, Ning Dong, Beliz Gokkaya, Thomas Jiang, Anitha Kubendran, Arun Kumar, Michael Tingley, and Narjes Torabi. HackPPL: a universal probabilistic programming language. In Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, pp. 20-28. 2019.

Nimar Arora, Stuart Russell, and Erik Sudderth. NET‐VISA: Network processing vertically integrated seismic analysis. Bulletin of the Seismological Society of America 103, no. 2A (2013): 709-729. (Also in AAAI 2011 and NIPS 2010).

Nimar Arora, Rodrigo de Salvo Braz, Erik Sudderth, and Stuart Russell. Gibbs sampling in open-universe stochastic languages. In Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, pp. 30-39. 2010.

Lik Wong, Nimar Arora, Lei Gao, Thuvan Hoang, and Jingwei Wu. Oracle streams: A high performance implementation for near real time asynchronous replication. In 2009 IEEE 25th International Conference on Data Engineering, pp. 1363-1374. IEEE, 2009.

Nimar Arora, Robert D. Blumofe, and C. Greg Plaxton. Thread scheduling for multiprogrammed multiprocessors. Theory of computing systems 34, no. 2 (2001): 115-144.

Selected Patents

Sean Lehouillier, Hung V. Tran, Vasanth Rajamani, Nimar S. Arora, and Lik Wong. Dependency-aware transaction batching for data replication. U.S. Patent 10,191,932, issued January 29, 2019.

Edwina M. Lu, James W. Stamos, Nimar S. Arora, Lik Wong, Haobo Xu, Thuvan Hoang, Byron Wang, and Lakshminarayanan Chidambaran. Statement-level and procedural-level replication. U.S. Patent 9,569,514, issued February 14, 2017.

Lik Wong, Nimar Arora, Lei Gao, Thuvan Hoang, and Haobo Xu. High performant information sharing and replication for single-publisher and multiple-subscriber configuration. U.S. Patent 9,230,002, issued January 5, 2016.

Lik Wong, Nimar S. Arora, Anand Lakshminath, Jingwei Wu, Lei Gao, and Thuvan Hoang. Combining capture and apply in a distributed information sharing system. U.S. Patent 8,799,213, issued August 5, 2014.

Nimar S. Arora Estimating performance of application based on automatic resizing of shared memory for messaging. U.S. Patent 7,937,257, issued May 3, 2011.

Lik Wong, Thuvan Hoang, Nimar Singh Arora, and Jun Yuan. Replicating and sharing data between heterogeneous data systems. U.S. Patent 7,783,601, issued August 24, 2010.

James W. Warner, Zhen Hua Liu, Sundeep Abraham, Muralidhar Krishnaprasad, Geeta Arora, Ravi Murthy, Sivasankaran Chandrasekar, Lik Wong, and Nimar S. Arora. Efficient replication of XML data in a relational database management system. U.S. Patent 7,853,573, issued December 14, 2010.

Lik Wong, Nimar S. Arora, Cristina Schmidt, Lei Gao, and Thuvan Hoang. Checkpoint-free in log mining for distributed information sharing. U.S. Patent 7,801,852, issued September 21, 2010.

Wong, Lik, James William Stamos, and Nimar Singh Arora. On-demand multi-version data dictionary to support distributed applications. U.S. Patent 7,287,034, issued October 23, 2007.

Alan Demers, James William Stamos, Lewis S. Kaplan, and Nimar Arora. Method of applying changes to a standby database system. U.S. Patent 6,980,988, issued December 27, 2005.

Nimar Arora, Nimar. Incremental refresh of materialized views for many-to-many relationships. U.S. Patent 6,708,179, issued March 16, 2004.