Dear all,

The Student Research Workshop at EACL 2023 is organizing a career panel 
discussion on May 4th at 11:15-12:45 CEST. We gathered a great set of panelists 
at different levels of seniority and from different affiliation types (see 
below).
We invite students (but not limited to) attending EACL to take part in the 
panel where there will be room for questions from the audience.

The SRW EACL 2023 panelists will include:

Saif M. Mohammad
Dr. Saif M. Mohammad is a Senior Research Scientist at the National Research 
Council Canada (NRC). He received his Ph.D. in Computer Science from the 
University of Toronto. Before joining NRC, he was a Research Associate at the 
Institute of Advanced Computer Studies at the University of Maryland, College 
Park. His research interests are in Natural Language Processing (NLP), 
especially Lexical Semantics, Emotions and Language, Computational Creativity, 
AI Ethics, NLP for psychology, and Computational Social Science. He is 
currently an associate editor for Computational Linguistics, JAIR,  and TACL, 
and Senior Area Chair for ACL Rolling Review.

Joakim Nivre
Joakim Nivre is Professor of Computational Linguistics at Uppsala University 
and Senior Researcher at RISE (Research Institutes of Sweden). He holds a Ph.D. 
in General Linguistics from the University of Gothenburg and a Ph.D. in 
Computer Science from Växjö University. His research focuses on data-driven 
methods for natural language processing, in particular for morphosyntactic and 
semantic analysis. He is one of the main developers of the transition-based 
approach to syntactic dependency parsing, described in his 2006 book Inductive 
Dependency Parsing and implemented in the widely used MaltParser system, and 
one of the founders of the Universal Dependencies project, which aims to 
develop cross-linguistically consistent treebank annotation for many languages 
and currently involves over 130 languages and over 500 researchers around the 
world. He has produced nearly 300 scientific publications and has over 22,000 
citations according to Google Scholar (April, 2023). He is a fellow of the 
Association for Computational Linguistics and was the president of the 
association in 2017.

Ana Marasović
Ana Marasović is an Assistant Professor in the Kahlert School of Computing at 
the University of Utah. Her primary research interests are at the confluence of 
NLP, explainable AI, and multimodality. She aims to rigorously validate AI 
technologies and make human interaction with AI more intuitive. She was a Young 
Investigator at the Allen Institute for AI from 2019–2022. During that time, 
she also had a courtesy appointment in the Paul G. Allen School of Computer 
Science & Engineering at the University of Washington. She obtained her PhD in 
2019 from Heidelberg University. She received Best Paper Honorable Mention at 
ACL 2020 and Best Paper Award at SoCal 2022 NLP Symposium.

Christos Christodoulopoulos
Christos Christodoulopoulos is a Senior Applied Scientist at Amazon Research 
Cambridge, working on knowledge extraction and verification. He got his PhD at 
the University of Edinburgh, where he studied the underlying structure of 
syntactic categories across languages. Before joining Amazon, he was a 
postdoctoral researcher at the University of Illinois working on semantic role 
labeling and psycholinguistic models of language acquisition. He has been a 
co-organiser of the FEVER workshops, an area chair for various ACL conferences, 
and the general chair for the 2021 Truth and Trust Online conference.

André Martins
André Martins (PhD 2012, Carnegie Mellon University and University of Lisbon) 
is an Associate Professor at Instituto Superior Técnico, University of Lisbon, 
researcher at Instituto de Telecomunicações, and the VP of AI Research at 
Unbabel. His research, funded by a ERC Starting Grant (DeepSPIN) and other 
grants (P2020 project Unbabel4EU and CMU-Portugal project MAIA) include machine 
translation, quality estimation, structure and interpretability in deep 
learning systems for NLP. His work has received best paper awards at ACL 2009 
(long paper) and ACL 2019 (system demonstration paper). He co-founded and 
co-organizes the Lisbon Machine Learning School (LxMLS), and he is a Fellow of 
the ELLIS society.


Student Research Workshop Co-Chairs 

Elisa Bassignana, IT University of Copenhagen 
Matthias Lindemann, University of Edinburgh 
Alban Petit, University of Paris-Saclay Student 

Research Workshop Faculty Advisors 

Valerio Basile, University of Turin 
Natalie Schluter, Apple and IT University of Copenhagen

Contact 
The organizers of the workshop can be contacted by email at 
eacl.srw23(a)gmail.com 
More details can be found at https://sites.google.com/view/eacl2023srw
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