contact

402 Paul G. Allen Center for Computer Science & Engineering,
West Stevens Way Northeast,
Box 352350
Seattle, WA 98195

Email: sviyer@cs.washington.edu


resources

Distribution of Python API calls

Srinivasan Iyer

Hi, I'm Srini and I'm a PhD student in Computer Science at the University of Washington, Seattle. My advisors are Luke Zettlemoyer and Alvin Cheung. I am interested in Natural Language Processing. My main interests lie in joint modeling of natural language and source code. I am excited about using natural language to specify computer programs by learning from vast amount of web data, and in particular, I am interested in automatically converting utterances to SQL queries for arbitrary database schemas.

Before this, I worked at Facebook in the Ads Ranking and Optimization team. We used machine learning to ensure that users *love* the ads that they see on fb.

I got my Masters in CS from Stanford University where I worked on BioInformatics and Theoretical CS.

I like summiting peaks, traveling to national parks, and photography.

publications

natural language processing
Learning a Neural Semantic Parser from User Feedback
Srinivasan Iyer, Yannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer
Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2017. (Long Paper, To Appear)
CODE

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi and Luke Zettlemoyer
Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2017. (Long Paper, To Appear)

Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer, Yannis Konstas, Alvin Cheung, Luke Zettlemoyer
Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2016 (Long Paper)
CODE POSTER

bioinformatics
Pharmacovigilance using clinical notes
Paea LePendu, Srinivasan V Iyer, Anna Bauer-Mehren, Rave Harpaz, Jonathan M Mortensen, Tanya Podchiyska, Todd A Ferris, Nigam H Shah
Clinical pharmacology & therapeutics 93 (6), 547-555, 2013

Annotation Analysis for Testing Drug Safety Signals using Unstructured Clinical Notes.
P LePendu, S Iyer, C Fairon, NH Shah
J. Biomedical Semantics 3 (S-1), S5, 2012

Using temporal patterns in medical records to discern adverse drug events from indications
Y Liu, P LePendu, S Iyer, NH Shah
AMIA Summits on Translational Science proceedings 2012, 47, 2012

Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes
NJ Leeper, A Bauer-Mehren, SV Iyer, P LePendu, C Olson, NH Shah
PloS one 8 (5), e63499, 2013

Mining clinical text for signals of adverse drug-drug interactions
SV Iyer, R Harpaz, P LePendu, A Bauer-Mehren, NH Shah
Journal of the American Medical Informatics Association 21 (2), 353-362, 2014

Identifying phenotypic signatures of neuropsychiatric disorders from electronic medical records
S Lyalina, B Percha, P LePendu, SV Iyer, RB Altman, NH Shah
Journal of the American Medical Informatics Association, amiajnl-2013-001933, 2013

Automated detection of off-label drug use
K Jung, P LePendu, WS Chen, SV Iyer, B Readhead, JT Dudley, NH Shah
PloS one 9 (2), e89324, 2014

Analyzing patterns of drug use in clinical notes for patient safety
P LePendu, Y Liu, S Iyer, MR Udell, NH Shah
AMIA Summits on Translational Science Proceedings 2012, 63, 2012

Profiling risk factors for chronic uveitis in juvenile idiopathic arthritis: a new model for EHR-based research
TS Cole, J Frankovich, S Iyer, P LePendu, A Bauer-Mehren, NH Shah
Pediatr Rheumatol Online J 11 (1), 45, 2013

Network analysis of unstructured EHR data for clinical research
A Bauer-Mehren, P LePendu, SV Iyer, R Harpaz, NJ Leeper, NH Shah
AMIA Summits on Translational Science Proceedings 2013, 14, 2013

Learning Signals of Adverse Drug-Drug Interactions from the Unstructured Text of Electronic Health Records
SV Iyer, P LePendu, R Harpaz, A Bauer-Mehren, NH Shah
AMIA Summits on Translational Science Proceedings 2013, 83, 2013

Case studies in making sense of clinical text
P LePendu, A Bauer-Mehren, K Jung, T Cole, J Mortensen, SV Iyer, NH Shah
Proceedings of BioLINK SIG 2013, 48-51, 2013

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks
K Jung, P LePendu, S Iyer, A Bauer-Mehren, B Percha, NH Shah
Journal of the American Medical Informatics Association, amiajnl-2014-002902, 2014

Toward personalizing treatment for depression: predicting diagnosis and severity
SH Huang, P LePendu, SV Iyer, M Tai-Seale, D Carrell, NH Shah
Journal of the American Medical Informatics Association, amiajnl-2014-002733, 2014

Pharmacovigilance using Clinical Text
P LePendu, SV Iyer, A Bauer-Mehren, R Harpaz, YT Ghebremariam, JP Cooke, NH Shah
AMIA Joint Summits on Translational Science proceedings AMIA Summit on ..., 2012

Analyzing Unstructured Clinical Notes for Phase IV Drug Safety Surveillance
P LePendu, A Bauer-Mehren, S Iyer, NH Shah
Circulation 126 (21 Supplement), A15727, 2012

Method and System for Ontology Based Analytics
N Shah, P LePendu, S Iyer
US Patent App. 13/424,376, 2012

Predictive Models in Mental Health: From Diagnosis to Treatment
SH Huang, P LePendu, SV Iyer, M Tai-Seale, D Carrell, NH Shah

teaching

CSE 344: Introduction to Data Management
Fall 2014, University of Washington