Publications

Working papers

Saldias, B.*, Gillani, N.*, Priscilla-Makini, S.*, Hughes, M.*, Roy, D. Exploring a human-bot blended storytelling model for youth mentorship. Working paper.

Saldias, B., Barassi, V. Challenges and Opportunities in Designing Child-Centered Content Exposure and Moderation. Working paper.

Saldias, B., TBA, Roy, D. Rationalizing Natural Language Content Moderation. Working paper.

2022

5. Saldias, B., Foster, G., Freitag, M., & Tan, Q. (May, 2022) Toward More Effective Human Evaluation for Machine Translation. Proceedings of the 2022 ACL Workshop on Human Evaluation of NLP Systems (HumEval). ACL.

paper, video, poster, slides, citation

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.

Experience

2018 - present Ph.D. Candidate - CCC - MIT.
2021 Summer - Research Intern - Google Translate Montreal.
2017 - 2018 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. Engineering and CS - PUC.

Conferences & Events

2023 Jan - Keynote Talk & Lecture @ MIT–Chile Research Workshop.
2022 May - Full paper (video) @ HumEval, ACL 2022, Dublin, Ireland.
2021 Oct - Attendee, CSCW MOSafely: Building An Open-Source HCAI Community To Make The Internet A Safer Place For Youth.
2020 Nov - Extended abstract (paper) @ CODI 2020, EMNLP.
2020 Aug - Panelist, Mitigating Bias in Analytics @ WIA and Tableau.
2020 July - Full paper accepted (video) @ NUSE ACL.
2020 July - Leader WiML breakout session @ ICML.
2020 July - Poster and video presentation @ WiML at ICML.
2019 Dec - Poster @ WiML at NeurIPS, Vancouver, Canada
2019 Nov - Paper @ ACM CSCW, Austin, Texas, USA
2019 Sept - Full paper @ ACII, Cambridge, United Kingdom
2019 May - Full paper oral presentation @ SIAM SDM, Calgary, Canada
2018 - Panelist @ WIDS, Santiago, Chile
2017 - Speaker, Graduation Speech @ DCC UC, Santiago, Chile

News and service

2023 - General Chair @ MIT–Chile Research Workshop.
2022 - Board @ Women in Machine Learning (WiML)
2022 - Volunteer @ MIT Path of Professorship
2022 - Program Committee @ Data-driven Humanitarian Mapping, KDD 2022
2021-2023 MIT Teaching Development Fellow
2022 Winter - Teaching Workshop Facilitator at MIT
2020 - Logistics Co-Chair @ WiML at NeurIPS (Core responsibilities: Gather.town design and implementation & Funding Program)
2020-21 - Reviewer for CHI21, CSCW21
2020 Fall - TA for Understanding Public Thought, MIT & UW-Madison
2020 - Super-volunteer @ WiML at ICML
2020 - Reviewer for the ICML Deploy and Monitor ML workshop
2020-21 - Hall Council Chair, MIT Sidney Pacific Grad Community
2019 - Reviewer for the 14th NeurIPS WiML workshop
2019 - Travel Grants, MIT Media Lab (3 x $2,000) and WiML (1 x $550)
2019 Fall - Grad TA for machine learning class at EECS, MIT

Main Printed Media

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

Other invited lectures & presentations

2022 Oct – Invited Lecture, Responsible sentiment analysis, affect manipulation and social media @ Advances in Affective Computing, MIT, hosted by Prof. Roz Picard.
2022 August – Talk, ML in Industry @ Agrosuper, Chile.
2022 June – Lecture and Workshop, Intro to ML & ML in Industry, MIT GSL and MIT MISTI.
2022 April – Lecture, Expectation Maximization and Mixture of Gaussians, Data Mining @ PUC CS.
2021, 2019 Spring – Guest presentation @ Affective Computing class by Prof. Roz Picard, MIT
2020 Oct – Talk, Innovation and Entrepreneurship @ U. La Sabana, Colombia
2020 Oct – Talk @ Social Computing & Visualization Group, PUC
2020 Oct – Research @ PUC CS/DCC, PhD Seminar
2020 Aug – Talk, Data Science in Industry @ U. de Concepción, Chile
2019 – Various research presentations @ PUC Chile
2019 - AI Demos, Panasonic Corporation x 3 @ MIT Media Lab

Publications

Some of my work's Presentations & Talks