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Bruno Jedynak, professor, 
335 Neuberger Hall
Portland, Oregon, 97201

Email:  bruno.jedynak@pdx.edu

Phone: 503-725-8283 
Fax: 503-725-3661

Biosketch: Bruno M. Jedynak received his doctorate in Applied Mathematics and Statistics from the Université Paris Sud in January 1995. He spent a year as post-doc in the Department of Statistics at the University of Chicago. He was then appointed as assistant professor at the Université des Sciences et Technologies de Lille. From 2003 to 2015, he was a faculty member of the Department of Applied Mathematics and Statistics at the Johns Hopkins University. In 2015, he moved to the Fariborz Maseeh Department of Mathematics and Statistics at Portland State University in Oregon where he is currently appointed as Maseeh Professor in Mathematical Sciences.

Curriculum vitae: long cv

Research interests: Machine learning, Statistical learning, Statistical modeling, Stochastic search. Applications in computer vision, medical image processing, natural language processing, bioinformatics, and computational neurosciences.  



Teaching: 

2017-2018: Statistical Learning I, II and III (Fall 2017, Winter and Spring 2018)
Office hours: Tuesdays and Thursdays: 9:45-10:30

News:
12/26/2017 The effect of rare variants in TREM2 and PLD3 on longitudinal cognitive function in the Wisconsin Registry for Alzheimer's Prevention
Corresponding Author: Professor Corinne D. Engelman
Authors: Burcu F Darst; Murat Bilgel; Eva Vasiljevic; Rebecca L Koscik; Bruno M Jedynak; Sterling C Johnson,
has been accepted for publication in Neurobiology of Aging

12/8/2017 The workshop Machine Learning for Health took place during the NIPS 2017 conference

11/15/2017 Our team: Murat Bilgel, Kruti Pandya, William Engels, and Joseph Cole submitted an entry for the Alzheimer's prediction challenge (TADPOLE)  

10/2/2017  "Bayesian Optimization for Refining Object Proposals", by Anthony Rhodes, Melanie Mitchell and myself  was accepted for publication at the IEEE International Conference on Image Processing, Theory, Tools & Applications (IPTA 2017). Congratulations Anthony! 

9/27/2017: The workshop  ML4H: Machine Learning for Health has been accepted as a NIPS 2017 workshop. Please submit your short paper here by 10/20/2017 

6/14/2017 "Temporal order of Alzheimer’s disease-related cognitive marker changes in BLSA and WRAP longitudinal studies", by Murat Bilgel, Rebecca L. Koscik, Yang An, Jerry L. Prince, Susan M. Resnick, Sterling C. Johnson, and Bruno M. Jedynak, has been accepted for publication in "Journal of Alzheimer's Disease"

1/6/2017 "Structural cerebellar correlates of cognitive and motor dysfunctions in cerebellar degeneration", by Kalyani Kansal, Zhen Yang, Ann Fishman, Haris Sair, Sarah Ying, Bruno M. Jedynak, Jerry L. Prince, and Onyike Chiadi has been published in Brain. 

11/21/2016 The Matlab software "Progression Score Model Toolkit" was made available to the scientific community (NITRC), see http://www.nitrc.org/projects/progscore/

10/3/2016 "Bayesian Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss", by Weidong Han, Purnima Rajan, Peter I. Frazier and Bruno M. Jedynak has been accepted for publication in the IEEE Transactions of Information Theory.

9/2/2016 Our team at Portland State University (Will Garrick, Bruno Jedynak, Jeffrey Ovall, Maxwell Rudolph and Panayot Vassilevski, lead by Jay Gopalakrishnan) has received funding from the National Scientific Foundation's Major Research Instrumentation Program as well as cost-sharing funding from PSU to purchase a High Performance Cluster. 

7/1/2016 "A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging", by Murat Bilgel, Jerry L. Prince, Dean F. Wong, Susan M. Resnick, and Bruno M. Jedynak was published in NeuroImage 134 (2016): 658-670.  

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