Aurélie Lozano is a Research Staff Member at the IBM T.J. Watson Research Center.
She received the M.S./Dipl.Ing. degree in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL) in 2001, and the M.A. and Ph.D. degrees in Electrical Engineering from Princeton University respectively in 2004 and 2007.
Her research interests include machine learning, statistics and optimization. Her current focus is on high dimensional data analysis and predictive modeling, with applications including biology, environmental sciences, business and infrastructure analytics, and social media analytics.
Selected Honors and Awards:
- Gordon Wu Fellowship, Princeton University
- Best paper award, Conference on Uncertainty in Articificial Intelligence (UAI) 2013
- IBM Research Pat Goldberg Memorial best paper award, 2013.
Conference Area Chair: NIPS 2014, ICML 2015, NIPS 2015, AISTAT 2017, NIPS 2018, NeurIPS 2020, UAI 2020, IJCAI 2020, ICLR 2021, UAI 2021, NeurIPS 2021, ICML 2021, ICLR 2022
Conference Local Committee: ICML 2016