My mission is to contribute to leveling the financial playing field. This involves developing financial management tools and novel products for establishing and maintaining ownership for consumers. I have been contributing to this space since 2015.
Currently, I am Founder and CEO of cmorq
. I was a Senior Research Scientist at Google Research
where I initiated and led multiple projects in collaboration with product teams such as Ad-Exchange. I was also a co-founder at Clarity Money
(Acquired by Goldman Sachs), building a trusted financial advocate.
I have a PhD in Computer Science (EconCS group
) from Harvard University, advised by Professor David Parkes, and a Siebel Scholar
, Class of 2014. I have an MBA from Columbia University (2016), MA in Statistics from Harvard University (2012) and BS in Electrical Engineering from Sharif University of Technology.
cmorq, Founder, CEO: 2018 - present
Clarity Money, Co-founder, Chief Data Scientist: 2016 - 2018
Google Research New York, Statistics, Modeling and Data Mining group: 2014 - 2016
Microsoft Research Redmond, Machine Learning Group: Summer Intern (June 2013 - August 2013)
Harvard University, School of Engineering and Applied Sciences: Research Assistant (2009 - 2013)
UCLA, Institute for Pure and Applied Mathematics (IPAM): Networks and Network Analysis for the Humanities (Aug 2010)
AT&T Shannon Laboratory, Statistics Department: Summer Intern (June 2010 - July 2010)
Sharif University of Technology, Advanced Communication Research Institute: Research Assistant (2006 - 2008)
Hossein Azari, David Parkes Passive Investment in Blockchain-based Assets
Hossein Azari, William D. Heavlin, Hoda Heidari, Max Lin, Sonia Todorova A General Framework for Evaluating Callout Mechanisms in Repeated Auctions
Guillaume W. Basse, Hossein Azari Soufiani , Diane Lambert, Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments, Journal of Machine Learning Research, W&CP, 22 (Proceedings of the 15th International Conference on Artificial Intelligence and Statistics AISTATS 2016)
Hossein Azari Soufiani, David C. Parkes, Lirong Xia, A Statistical Decision-Theoretic Framework for Social Choice, Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2014)
Revisiting Random Utility Models, PhD Dissertation, 2014, Harvard University
Hossein Azari Soufiani, Denis J. Charles, David M. Chickering, David C. Parkes Approximating the Shapley Value via Multi-Issue Decomposition, Accepted in Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014).
Hossein Azari Soufiani, David C. Parkes, Lirong Xia, Computing Parametric Ranking Models via Rank-Breaking, Accepted for Proceedings of the International Conference on Machine Learning (ICML 2014), Beijing, China.
Hossein Azari Soufiani, William Chen , David C. Parkes, Lirong Xia , Generalized Method-of-Moments for Rank Aggregation , Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, Nevada, USA.
Hossein Azari Soufiani, Hansheng Diao , Zhenyu Lai, David C. Parkes, Generalized Random Utility Models with Multiple Types , Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, Nevada, USA.(Supplementry)
Hossein Azari Soufiani, David C. Parkes, Lirong Xia, Preference Elicitation For General Random Utility Models, Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), Bellevue, Washington, USA.
Hossein Azari Soufiani, David C. Parkes, Lirong Xia, Random Utility Theory for Social Choice, Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2012), pp. 126-134, Lake Tahoe, Nevada, USA. (arXiv version).
Sasha Goodman , David Lazer , Edoardo M. Airoldi and Hossein Azari Soufiani, Tracing the Invisible Networks of US Politics, at the 33rd Annual Sunbelt Social Network Conference of the International Network for Social Network Analysis, Hamburg, Germany, May 2013.
Hossein Azari Soufiani, Edoardo M. Airoldi, Graphlets Decomposition of a Weighted Network, Journal of Machine Learning Research, W&CP, 22 (Proceedings of the 15th Internatioanal Conference on Artificial Intelligence and Statistics AISTATS), 54-63. 2012. (arXiv version) (Recipient of the best student paper award, NESS 2012).
Hossein Azari Soufiani, M.J. Saberian , M.A. Akhaee, R.N. Mahallati, F. Marvasti, Analysis of communication systems using iterative methods based on Banach's contraction principle, Proceedings of 6th International Conference on Information, Communications and Signal Processing, December 2007.