基本信息
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职业迁徙
个人简介
I am very passionate about innovation and entrepreneurship, currently working on a couple of projects, as well as advising on other ideas. I play a strategic role with ColdLight Solutions, a fast growing company that uses innovative Big Data Predictive Analytics approaches to drive better business outcomes in a variety of industries. Additionally, I am involved in implementing other entrepreneurial concepts in the area of career advancement.
My prior experience includes Product Management, Strategic Planning, R&D Management, Project Management, and Scientific Research. Additionally, I hold 9 patents and have co-authored over 30 scientific publications in top tier US and International conferences and journals, across a variety of topics including Machine Learning / Data Mining, Medical Informatics and Mathematics. My expertise lies in Predictive / Machine Learning modelling using a variety of techniques such as Natural Language Processing (NLP), Bayesian Networks, Decision Trees, Neural Networks, Support Vector Machines, with a special emphasis on both structured and unstructured (text) patient record mining, as well as functional magnetic resonance imaging (fMRI) data mining.
In 2005 I earned a PhD degree from the Computer Science Department at Carnegie Mellon University, where my research was primarily focused on incorporating domain knowledge constraints in parameter estimation of Bayesian Networks, with applications in predicting mental states from functional magnetic resonance imaging (fMRI) data.
A couple of additional highlights of my education include graduating best of my class with a BSc degree in Computer Science and Mathematics from the University of Bucharest (Romania) in 2000 and a Gold Medal at the International Mathematics Olympiad that took place in Mumbai (India) in 1996.
研究兴趣
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Vikram Anand, Farbod Rahmanian, William Michael Hasling, Brian Thornton, Muthu Premananth, Daniel Antohe,Radu Stefan Niculescu, Camille Anne Egan, Bette Jane Reese, William A Landi, Todd W Fritsche
mag(2015)
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mag(2008)
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