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User talk:Raouf.kerkouche

Chunliang Lyu — Tue, 30 Jun 2026 04:34:49 GMT

Welcome!

New page

'''Welcome to ''ACL Wiki''!'''
We hope you will contribute much and well.
You will probably want to read the [https://www.mediawiki.org/wiki/Special:MyLanguage/Help:Contents help pages].
Again, welcome and have fun! [[User:Chunliang Lyu|Chunliang Lyu]] ([[User talk:Chunliang Lyu|talk]]) 04:34, 30 June 2026 (UTC)

User:Raouf.kerkouche

Chunliang Lyu — Tue, 30 Jun 2026 04:34:49 GMT

Creating user page for new user.

New page

I am a tenured research scientist (Chargé de recherche) at Inria in the Magnet team. From 2021 to 2025, I was fortunate to work as a postdoctoral researcher with Prof. Mario Fritz at the CISPA Helmholtz Center for Information Security (Germany) on Trustworthy Machine Learning with a focus on Security & Privacy.

Before joining CISPA, I completed my Ph.D. in computer science at Inria Grenoble in the Privatics team, where I had the honor of being supervised by Prof. Claude Castelluccia (Privatics team-Inria) and Prof. Pierre Genevès (LIG and Tyrex team-Inria). During my Ph.D., I worked on differentially private federated learning, studying the compatibilities and incompatibilities between privacy, security, bandwidth efficiency, and utility. I was also affiliated with the Chair on legal and regulatory implications of artificial intelligence. Prior to that, I had the privilege of working with Prof. Mérouane Debbah.

User:Raouf.kerkouche

Chunliang Lyu — Tue, 30 Jun 2026 04:34:46 GMT

User account Raouf.kerkouche was created by Chunliang Lyu and password was sent by email

SIGBIOMED

Dina — Thu, 25 Jun 2026 20:08:47 GMT

Past Events

← Older revision		Revision as of 20:08, 25 June 2026
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	== Past Events ==		== Past Events ==
			<div> [https://bionlp.nlm.nih.gov/cl4health2026/ CL4Health 2026]. Patient-oriented language processing at [https://lrec2026.info/ LREC 2026], May 2026, Palma de Mallorca, Spain</div>
	<div> [[BioNLP_2025\|BioNLP 2025 Workshop and Shared Tasks]] at [https://2025.aclweb.org/ ACL], 1 August, 2025, Vienna, Austria </div>		<div> [[BioNLP_2025\|BioNLP 2025 Workshop and Shared Tasks]] at [https://2025.aclweb.org/ ACL], 1 August, 2025, Vienna, Austria </div>
	<div> [https://bionlp.nlm.nih.gov/cl4health2025/ CL4Health 2025]. Patient-oriented language processing at [https://2025.naacl.org/ NAACL 2025], May 2025,Albuquerque, New Mexico </div>		<div> [https://bionlp.nlm.nih.gov/cl4health2025/ CL4Health 2025]. Patient-oriented language processing at [https://2025.naacl.org/ NAACL 2025], May 2025, Albuquerque, New Mexico </div>
	<div> [[BioNLP_2024\|BioNLP 2024 Workshop and Shared Tasks]] at [https://2024.aclweb.org/ ACL], August 16, 2024, Bangkok, Thailand</div>		<div> [[BioNLP_2024\|BioNLP 2024 Workshop and Shared Tasks]] at [https://2024.aclweb.org/ ACL], August 16, 2024, Bangkok, Thailand</div>
	<div> [https://bionlp.nlm.nih.gov/cl4health2024/ CL4Health 2024]. Patient-oriented language processing at [https://lrec-coling-2024.org/ LREC-COLING], May 20, 2024, Turin, Italy </div>		<!-- <div> [https://bionlp.nlm.nih.gov/cl4health2024/ CL4Health 2024]. Patient-oriented language processing at [https://lrec-coling-2024.org/ LREC-COLING], May 20, 2024, Turin, Italy </div>
	<div> [[BioNLP_2023\|BioNLP 2023 Workshop and Shared Tasks]] at [https://2023.aclweb.org/ ACL], July 13, 2023, Toronto, Canada </div>		<div> [[BioNLP_2023\|BioNLP 2023 Workshop and Shared Tasks]] at [https://2023.aclweb.org/ ACL], July 13, 2023, Toronto, Canada </div> -->

	<table border="0">		<table border="0">

SIGBIOMED

NitinMadnani — Wed, 24 Jun 2026 19:07:52 GMT

Show changes

BioNLP Workshop

Dina — Wed, 24 Jun 2026 18:42:47 GMT

← Older revision		Revision as of 18:42, 24 June 2026
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	* Workshop: July 3 - 4, 2026, Collocated with ACL 2026 in San Diego, CA		* Workshop: July 3 - 4, 2026, Collocated with ACL 2026 in San Diego, CA
	<br>		<br>

			<h3>Schedule</h3>
			* [https://docs.google.com/document/d/1aGaDRmcGNPdeGZbO3dDglFA7zf9XYxqcli0POcCXVFk/edit?usp=sharing July 3 ]
			* [https://docs.google.com/document/d/1GHnmXhsumseG6Kxm6Vt8iCWSv9uxsEDZ/edit?usp=sharing&ouid=114874328739866572425&rtpof=true&sd=true July 4 ]

	===Invited Talk===		===Invited Talk===
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	<p>Biography: Annika Marie Schoene, PhD is a computer scientist and researcher in AI safety, working on the evaluation, robustness, and security of large-scale AI systems, including large language models. She develops technical methods and evaluation frameworks to identify and mitigate high-risk behaviors such as jailbreaks, harmful outputs, and unsafe system behavior, with the goal of enabling the safe and trustworthy deployment of AI in public health, health systems, and healthcare settings. She is currently an Assistant Professor in the Department of Public Health and Health Sciences and Technical Lead for the Responsible AI Practice at Northeastern University. Beyond her core research, she works across academic, industry, public-sector and not-for-profit settings to generate evidence that supports non-technical stakeholders and policymakers in making informed decisions that reduce algorithmic harm and inform organizational decision-making. She is also a Visiting Scientist at MaineHealth and the University of Southampton (UK), and a Faculty Fellow at the Institute for Social Justice and Healthy Equity, and serve as a Scientific Expert Advisor at Meta on AI safety. She holds a PhD in Computer Science from the University of Hull (UK). During her doctoral training, she conducted research on machine and deep learning methods for analyzing complex real-world text and interned at IBM Research (UK), continuing this collaboration throughout her PhD and postdoctoral work. She completed her postdoctoral training at the University of Manchester’s National Centre for Text Mining (NaCTeM), where she worked on natural language processing in health-related contexts. Prior to her current role, she was a Research Scientist at the Institute for Experiential AI (EAI), working primarily on research involving the development and evaluation of AI methods in applied health contexts.</p>		<p>Biography: Annika Marie Schoene, PhD is a computer scientist and researcher in AI safety, working on the evaluation, robustness, and security of large-scale AI systems, including large language models. She develops technical methods and evaluation frameworks to identify and mitigate high-risk behaviors such as jailbreaks, harmful outputs, and unsafe system behavior, with the goal of enabling the safe and trustworthy deployment of AI in public health, health systems, and healthcare settings. She is currently an Assistant Professor in the Department of Public Health and Health Sciences and Technical Lead for the Responsible AI Practice at Northeastern University. Beyond her core research, she works across academic, industry, public-sector and not-for-profit settings to generate evidence that supports non-technical stakeholders and policymakers in making informed decisions that reduce algorithmic harm and inform organizational decision-making. She is also a Visiting Scientist at MaineHealth and the University of Southampton (UK), and a Faculty Fellow at the Institute for Social Justice and Healthy Equity, and serve as a Scientific Expert Advisor at Meta on AI safety. She holds a PhD in Computer Science from the University of Hull (UK). During her doctoral training, she conducted research on machine and deep learning methods for analyzing complex real-world text and interned at IBM Research (UK), continuing this collaboration throughout her PhD and postdoctoral work. She completed her postdoctoral training at the University of Manchester’s National Centre for Text Mining (NaCTeM), where she worked on natural language processing in health-related contexts. Prior to her current role, she was a Research Scientist at the Institute for Experiential AI (EAI), working primarily on research involving the development and evaluation of AI methods in applied health contexts.</p>