Preethi Raghavan

Department of Computer Science and Engineering The Ohio State University 2015 Neil Avenue Columbus, OH 43210

Research Interests

Office: 395 Dreese Laboratories Phone: (630) 815 - 8020 E-Mail: raghavap@cse.ohio-state.edu

Preethi Raghavan

Natural language processing, machine learning, information extraction and temporal reasoning in biomedical data.

Education

January 2010 - Present

September 2007 - December 2010 September 2001 - June 2005

Research Experience

Ph.D Student, Computer Science and Engineering, The Ohio State University Major: Artificial Intelligence. Minors: Linguistics, Cognitive Engineering Advisor: Eric Fosler-Lussier and Albert M. Lai Major GPA: 4.0/4.0. Overall GPA: 3.7/4.0

Master of Science in Computer Science, The Ohio State University Bachelor of Technology (BTech), UMIT, SNDT University, Mumbai, India

Jan 2010 - Present

Sep 2008 - Dec 2009

Internships

Jun 2011 - Sept 2011

Aug 2009 - Nov 2009

Graduate Research Associate, The Ohio State University

Natural language processing of clinical narratives: Use linguistic insights from the clinical discourse to train machine learning models to solve information extraction problems in clinical text. Problems include coreference resolution, temporal relation learning, and multiple sequence alignment of medical events.

Graduate Research Associate, Dept. of Computer Science and Engineering, The Ohio State University

Mining opinions from blog comments: Worked done in collaboration with the Kiplinger Program in Public Affairs Journalism, OSU. Work included clustering, cluster summarization and basic sentiment analysis. Article published in US News based on our analysis of a US News comment dataset: Is a College Degree Really Worth the Cost? Also designed an opinion mining tool based on cognitive engineering principles.

Advisor: Dr. Rajiv Ramnath

Research Intern, eBay Research Labs, San Jose, California

Applying supervised and semi-supervised machine learning methods to mine information from product descriptions on eBay to help improve search. Mentor: Dr. Neel Sundaresan

Research Intern, IBM Research Labs, Bangalore, India

Extracting problem and resolution information from online discussion forums:

Worked with the Human Language Technologies research group on using Conditional Random Fields (CRFs) to extract problem and resolution information from the SAP discussion forum Mentor: Dr. Nanda Kambhatla

Publications

Preethi Raghavan, Eric Fosler-Lussier, Albert M. Lai.Inter-Annotator Reliability of Medical Events in Clinical Narratives by Annotators with Varying Levels of Clinical Expertise. AMIA 2012

Preethi Raghavan, Eric Fosler-Lussier, and Albert Lai. Learning to Temporally Order Medical Events in Clinical Text (short paper) Association for Computational Linguistics - ACL 2012.

Preethi Raghavan, Eric Fosler-Lussier, and Albert Lai. Temporal Classification of Medical Events. BioNLP 2012 at the North American Association for Computational Linguistics - NAACL 2012.

Preethi Raghavan, Eric Fosler-Lussier, and Albert Lai. Exploring semi-supervised medical concept coreference resolution. using semantic and temporal features. North American Association for Computational Linguistics - NAACL 2012.

Albert M. Lai, Preethi Raghavan. Inter-Annotator Reliability of Medical Events in Clinical Narratives by Annotators. with Varying Levels of Clinical Expertise. Poster at the AMIA 2012 Clinical Research Informatics Summit

Preethi Raghavan, Eric Fosler-Lussier, Chris Brew, and Albert Lai. Medical Event Coreference Resolution using the UMLS Metathesaurus and Temporal Reasoning. ACM SIGHIT International Health Informatics Symposium, 2012.

Preethi Raghavan, Chris Brew, Albert Lai. Information Extraction from Clinical Narratives. Modeling, Poster at Grace Hopper 2011. Won NSF sponsored travel award.

Preethi Raghavan, Chris Brew, Albert Lai. Leveraging Natural Language Processing of Clinical Narratives for Clinical Phenotype Modeling. Poster at Ohio Celebration of Women in Computing (OCWIC), Feb 2011. Best Graduate Poster Award Winner.

Preethi Raghavan, and Albert Lai. 2010. Leveraging Natural Language Processing of Clinical Narratives for Phenotype. Modeling. In: Proceedings of the ACM CIKM’s Workshop for Ph.D. Students in Information and Knowledge Management (PIKM 2010)

Preethi Raghavan, Rose Catherine K, Shajith Ikbal, Nanda Kambhatla and Debapriyo Majumdar, Extracting Problem and Resolution Information from Online Discussion Forums. In: Proceedings of the International Conference on Management of Data (COMAD 2010)

Preethi Raghavan, Rose Catherine K., Shajith Ikbal and Nanda Kambhatla, Classification and Retrieval from Mailing Lists and Forums, Forum for Information Retrieval Evaluation (FIRE 2010).

Preethi Raghavan, Rajiv Ramnath, Jay Ramanathan, Zhe Xu, Framework for Improving Enterprise Services by Mining Customer Edge Data, IEEE International Conference on Collaboration, Technologies and Infrastructures (WETICE 2009).

Aman Kumar, Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Interaction Ontology for Change Impact Analysis of Complex Systems, IEEE Asia-Pacific Services Computing Conference (APSCC 2008)

Teaching

Graduate September 2007 - May 2008

Teaching Assistant for Computer Programming (CSE 202), General education course on basics of computer programming taught in C++. Organized and delivered course lectures, labs and website. Instructor of record for the course. Responsible for holding office hours and grading student work.

Courses and Technical Skills

Analysis of Algorithms, Computational Linguistics, Artificial Intelligence, Cognitive Engineering, Machine Learning and Pattern Recognition, Data Overload and Visualization in Human Computer Interaction, Complexity Theory

Programming languages & frameworks: Java, C++, SQL, Perl, Shell scripting, basics of Hadoop NLP and Machine learning tools: Mallet, LingPipe. Medical NLP systems: Familiar with cTAKES by Mayo Clinic, MedKAT by IBM, UMLS, MetaMap, Knowtator Operating Systems: Linux, OS X, Windows

Work Experience

September 2005 - July 2007 Software Engineer, Infosys Technologies Ltd., India Worked for 2 years on object oriented analysis, design and development for Cisco

internal apps using Java, J2EE framework, SQL, Oracle

January - June 2005 Project Intern, Patni Computer Systems, India Designed and developed a Java based dependency management toolset using

an agile development methodology

Activities and Associations

Nov 2012

May 2012

February 2011

April 2008

February 2008 2009 - Present

Oral & Poster Presentation:Temporal Reasoning and Information Fusion in Longitudinal Clinical Narratives, AMIA pre-symposium NLP Working Group 2012. Won First Place in Doctoral Symposium and AMIA sponsored travel grant.

Poster Presentation:Semi-supervised medical event co-reference resolution, at the CogFest, Dept. of Cognitive Science, The Ohio State University

Poster Presentation:Information Extraction from Clinical Narratives, at the Fifth Annual CSE Research Poster Exhibition, The Ohio State University

Poster Presentation: Integrated Development Environments, at the Second Annual CSE Research Poster Exhibition, The Ohio State University

Selected to participate in the Google Workshop for Women in Engineering 2008.

Association for Computing Machinery Committee on Women (ACM W) student chapter member, The Ohio State University