Welcome | Belén Carolina Saldías Fuentes

Experience

2018 - present Ph.D. Candidate and RA - Lab for Social Machines - MIT.
2017 - 2018 CS Adjunct Professor - P. Catholic University of Chile (PUC).
2016 - 2018 Data Scientist - Falabella.com.
2016 - 2017 Research Assistant - IACS, Harvard University.
2016 - 2017 M.Sc. Machine Learning - PUC.
2012 - 2017 B.S. Engineer and CS - PUC.

Conferences & Events

Extended abstract (paper), Nov 2020 @ CODI 2020, EMNLP.
Panelist, Mitigating Bias in Analytics, August 2020 @ WIA and Tableau.
Full paper accepted (video), July 2020 @ NUSE ACL.
Leader WiML breakout session, July 2020 @ ICML.
Poster and video presentation, July 2020 @ WiML at ICML.
Poster presentation, Dec 2019 @ WiML at NeurIPS, Vancouver, Canada
Paper, Nov 2019 @ ACM CSCW, Austin, Texas, USA
Full paper presentation, Sept 2019 @ ACII, Cambridge, United Kingdom
Full paper oral presentation, May 2019 @ SIAM SDM, Calgary, Canada
Panelist, 2018 @ WIDS, Santiago, Chile
Speaker, 2017 Graduation Speech @ DCC UC, Santiago, Chile

News and service

Logistics Co-Chair @ WiML at NeurIPS, 2020
Grad TA for Understanding Public Thought, MIT & UW-Madison, Fall 2020
Super-volunteer @ WiML at ICML, 2020
Reviewer for the ICML Deploy and Monitor ML workshop, 2020
Hall Council Chair, MIT Sidney Pacific Graduate Community, 2020
Reviewer for the 14th NeurIPS WiML workshop, 2019
Travel Grants 2019, MIT Media Lab (3 x $2,000) and WiML (1 x $550)
Grad TA for machine learning class at EECS, MIT, Fall 2019

Miscellaneous

El Mercurio cover and innovation section, Chile, 2020 (pdf, La Segunda)
MIT Media Lab en español, La Razón, España, 2019
Emociones en Twitter, El País, España, 2019

Other invited lectures & presentations

Speaker, Innovation and Entrepreneurship Week @ U. de La Sabana, Colombia, October 2020
Presenting INSPIRE @ Social Computing & Visualization Group, PUC, October 2020
Research @ PUC CS/DCC, PhD Seminar, October 2020
Speaker, Data Science in Industry @ University of Concepción, Chile, August 2020
Various research presentations @ PUC Chile, 2019
Paper presentation @ Affective Computing class by Prof. Roz Picard, MIT, Spring 2019

AI Demos @ MIT Media Lab

Panasonic Corporation x 3, 2019

Publications

Google Scholar, ORCID ID

2020

4. Saldias, B., & Roy, D. (July, 2020) Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types. Proceedings of the 2020 ACL Workshop on Narrative Understanding, Storylines, and Events (NUSE). ACL.

Work also presented at WiML @ NeurIPS19, WiML @ ICML20, CODI @ EMNLP20.

paper, video, short video, slides, poster, repo, @medialab, citation.

2019

3. Bhargava, R.*, Chung, A.*, Gaikwad, N.*, Hope, A.*, Jen, D.*, Rubinovitz, J.*, Saldias, B.*, & Zuckerman, E.* (2019, November). Gobo: A System for Exploring User Control of Invisible Algorithms in Social Media. Proceedings of the 2019 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW). ACM. *All authors contributed equally to this research.

paper, poster, @medialab, citation.

2. Saldias, B., & Picard, R. (2019, September). Tweet Moodifier: Towards Giving Emotional Awareness to Twitter Users. Proceedings of the 2019 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE.

paper, slides, poster, news, @medialab, citation.

1. Saldias, B., Protopapas, P., & Pichara, K. (2019, May). A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification. Proceedings of the 2019 SIAM International Conference on Data Mining (SDM) (pp. 756-764). SIAM.

paper, slides, poster, repo, citation.

Research statement

Publications

Some of my work's Presentations & Talks