Michele Filannino, CV

MIT CSAIL
Stata Center, 32 Vassar Street, 32-252
Cambridge, MA 02139
United States of America

Phone: +1 (617) 253-3510
Emails: filannim@csail.mit.edu, mfilannino@albany.edu
Web: http://groups.csail.mit.edu/~filannim
LinkedIn: https://www.linkedin.com/in/michelefilannino
Skype: filannino_michele

Profile

I am a postdoctoral associate at SUNY @ Albany and postdoctoral fellow at MIT in the Clinical Decision Making group. I am interested in temporal information extraction, which aims at enabling machines to interpret the temporal meaning of texts. I work with Prof. Ozlem Üzuner and Prof. Peter Szolovits. My research interests are mostly in Natural Language Processing, Information Extraction and Machine Learning.

Languages

Italian, level: Damn I'm good^*
English, level: Come get some^*,+
Barlettano, level: Come get some^*
Andriese, level: Let's rock^*
French, level: Piece of cake^*

^* Levels are expressed in DN3D scale.
⁺ Academic IELTS, 2011.

Education

Ph.D. in Computer Science, The University of Manchester, UK, 2015
Laurea Magistrale in Computer Science, University of Bari, Italy, 2010
Laurea Triennale in Computer Science, University of Bari, Italy, 2008

Additional

Natural Language Processing, MIT, Sep. 2016
Artificial Intelligence, MIT, Sep. 2016
High Performance Scientific Computing, Coursera, Jun 2014
Introduction to Mathematical Thinking, Coursera, Sep 2013
LxMLS Lisbon Machine Learning Summer School, Portugal, Jul 2012
Natural Language Processing course, Coursera, Sep 2012
Machine Learning course, Coursera, Aug 2012

Professional experience

Research collaborator, Nowigence @ Albany, NY (US), 2017-
Research collaborator, PHILIPS Research North America @ Cambridge, MA (US), 2016-
Consultant, State University of New York @ Albany, NY (US), 2015-2016
Consultant, Bookingshow srl, Italy, 2013-2014
Research Scientist, Telecom Italia spa, Italy, 2010-2011
Blogger, Blogo.it, Italy, 2008-2011
Intern, Openwork srl, Italy, 2008

Honors and Awards

TREC 2017 Precision Medicine challenge (2nd place), TREC2017, Dec. 2017
Travel support winner, NTCIR-11 Conference, Dec 2014
Google European Doctoral Fellowship nomination, University of Manchester, Feb 2014
Best poster award, IBM, Nov 2013
EPS Researcher Development Conference Travel Fund, University of Manchester, Mar 2013
TempEval-3 Temporal Annotation challenge (3rd place), TempEval-3, Jun 2013
i2b2 2012 Temporal Annotation challenge for clinical data (1st place), i2b2, Nov 2012
EPSRC 4-year PhD studentship, University of Manchester, Sept 2011
eContent Award Italy, Fondazione Politecnico di Milano and MEDICI Framework, Dec 2010
Working Capital fellowship, Telecom Italia Lab, Nov 2010
Laurea Magistrale cum laude, 2010
Laurea Triennale cum laude, 2008

Service

Member of the organizing committee: CEGS N-GRID Shared Task
Conference reviewer: Empirical Methods in Natural Language Processing (EMNLP), North American Chapter of the Association for Computational Linguistics (NAACL), PLOS Computational Biology, BioNLP Shared Tasks (BioNLP-ST),
Journal reviewer: Journal of Biomedical Semantics (JBS), American Medical Informatics Association (AMIA), Journal of Biomedical Informatics (JBI), International Journal of Methods in Psychiatric Research (JMPR), Multidisciplinary Digital Publishing Institute Informatics Journal (MDPI Inf.), Public Library of Science ONE (PLOS ONE)
Media reviewer: Packt Publishing

Outreaching activities

STEM ambassador

Teaching experience

Lecturer

(ICSI-635) Artificial Intelligence II, SUNY
[ Slides, Coursework, Questionnaire, Suggested videos ]
(ICSI-636) Natural Language Processing, SUNY
[ Slides, Coursework, Questionnaire, Suggested videos ]
(COMP80131) Scientific Methods I: Scientific Evaluation, Experimental Design and Statistical Methods (co-lectured with Dr. G. Nenadic), University of Manchester
[ Slides, Coursework, Questionnaire, Suggested videos ]

Teaching assistant

Undergraduate courses

(COMP14112) Introduction to artificial intelligence [Dr. J. Morris, Dr. X. Zeng]
(COMP16121) Object oriented programming with Java 1 [Prof. J. Latham]
(COMP16212) Object oriented programming with Java 2 [Dr. J. Latham]
(COMP24111) Introduction to Machine Learning [Dr. G. Brown, Dr. K. Chen]
(COMP38120) Documents, Services and Data on the Web [Prof. N. Paton, Mr. J. McNaught, Dr. S. Sampaio, Dr. G. Nenadic]

Postgraduate courses

(COMP60711) Data Enginnering [Dr. J. Keane, Dr. S. Sampaio]
(COMP61011) Foundations of Machine Learning [Dr. G. Brown]
(COMP60411) Semi-structured data and the Web [Dr. B. Parsia, Prof. U. Sattler]

Tutor

Natural Language Processing, George Mason University, Prof. O. Uzuner, 2018
Machine Learning, Coursera, Prof. A. Ng, 2013-2015
I have been tutoring as a volunteer activity in my free time via Google Helpouts. I helped more than 50 students with 30-minute face-to-face online sessions.

Selected Journal Articles

Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID Shared Tasks Track 2
M. Filannino, A. Stubbs, Ö. Uzuner
Journal of Biomedical Informatics, ELSEVIER (2017)
De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID Shared Tasks Track 1
A. Stubbs, M. Filannino, Ö. Uzuner
Journal of Biomedical Informatics, ELSEVIER (2017)
Temporal expression extraction with extensive feature type selection and a posteriori label adjustment
M. Filannino, G. Nenadic
Data & Knowledge Engineering, ELSEVIER (2015)
Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
A. Kovačević , A. Dehghan , M. Filannino , J. A. Keane , G. Nenadic
Journal of the American Medical Informatics Association (JAMIA)

Selected Conference Publications

Using machine learning to predict temporal orientation of search engines' queries in the Temporalia challenge
M. Filannino, G. Nenadic
Proceedings of the Sixth International Workshop on Evaluating Information Access (EVIA 2014) a Satellite Workshop of the NTCIR-11 Conference
Mining temporal footprints from Wikipedia
M. Filannino, G. Nenadic
Proceedings of the 1st AHA! Workshop on Information Discovery in Text (COLING 2014)
ManTIME: Temporal expression identification and normalization in TempEval-3 challenge
M. Filannino, G. Brown, G. Nenadic
Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013)
Introducing serendipity in a content-based recommender system
L. Iaquinta, M. De Gemmis, P. Lops, G. Semeraro, M. Filannino, P. Molino
Hybrid Intelligent Systems (HIS'08)

Skills

Technical

I'm very proficient in Python. Most of my code is online. I’ve been tutoring in the biggest Machine learning MOO course (by Prof. Andrew Ng, Coursera, Stanford University - counted more than 100K students)

Non-technical

I enjoy reading books of the following genres: travel diaries, anthropology, and literature. I like photography, design and playing with LEGO bricks. I also like teaching: stimulating Eureka! moments, challenge my students, provide them with effective examples of concepts/tools. I love to pick a marker and approach a whiteboard to visualise problems. I come from a working-class background.