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إلياس بانتكاس

الدكتور إلياس بانتكاس

أستاذ دكتور

البريد الإلكتروني

ibantekas@hbku.edu.qa

الهاتف

+974 4454 6237

موقع المكتب

3.19

الدكتور إلياس بانتكاس

أستاذ دكتور

المؤهلات العلمية

Diploma in Theology

PhD in International Law

الكيان

كلية القانون

السيرة الذاتية

Dr. Bantekas is a Professor of Transnational Law (with an emphasis on sports law, contracts, arbitration and international law) at HBKU and Adjunct Professor of Law at Georgetown University and Senior Fellow at the Institute of Advanced Legal Studies of the University of London. He has advised international organizations, including UN, CoE, IDEA, OIC, UNDP and is regularly appointed as arbitrator in international commercial disputes. He was appointed to the list of arbitrators of the Court of Arbitration for Sport (CAS) in 2023 and advises private entities and national federations on various regulatory and contractual aspects of sports law. He has authored more than 200 peer reviewed articles, including in the American Journal of Int’L; British YB Int’l L; ICLQ; European J Int’l L; Human Rts Quarterly; J Int’l Dispute Settlement; Arbitration Int’l; American Rev Int’l Arbitration; Berkeley J Int’l L; Pennsylvania J Constitutional Law and others. He is the author of 20 books, 13 of which have been published by Oxford and Cambridge University Press.

Diploma in Theology

University of Cambridge

2005

PhD in International Law

University of Liverpool

1999

LLM in International & European Law

University of Liverpool

1996

Degree in Law

University of Athens

1994

  • Sports law
  • Comparative contract law
  • International arbitration
  • International human rights law

Full Professor

College of Law, Hamad Bin Khalifa University

2018-present

Full Professor

Faculty of Law, Brunel University London

2006‑2018

Senior Fellow

Institute of Advanced Legal Studies, University of London

2009‑present

Fellow

School of Law, Harvard University

2003‑2004

Associate Professor

School of Law, University of Westminster

1998-2006

  • 2002; Paul Reuter Prize
هيلاري كريستينا بيل

هيلاري كريستينا بيل

أستاذ مساعد والعميد المساعد لشؤون الطلاب

البريد الإلكتروني

hbell@hbku.edu.qa

الهاتف

+974 4454 2584

هيلاري كريستينا بيل

أستاذ مساعد والعميد المساعد لشؤون الطلاب

المؤهلات العلمية

Masters of Laws

Diploma in Legal Practice

الكيان

كلية القانون

السيرة الذاتية

Hilary Bell teaches construction and infrastructure development law, dispute resolution and legal skills courses. Hilary is an innovative academic leader, she is the JD Degree Coordinator, a member of the Curriculum Committee, and chairing the College's Admissions Committee. As a professor, Hilary complements academic perspectives with that of an experienced practitioner. She has 11 years of professional dispute resolution experience and has practiced in the UK and Qatar.

In addition to teaching, Hilary coaches teams competing in international moot court competitions, including the Vis International Commercial Arbitration Moot. Before joining HBKU Law, she was a construction disputes lawyer in Qatar. Before moving to Qatar, she practiced as a litigator in the UK. Hilary is a Solicitor and Notary Public; a Fellow of the Chartered Institute of Arbitration; a Member of the International Coach Federation; and a Master Practitioner of Neuro-Linguistic Programming.

Hilary's scholarship focuses on the application of educational pedagogy to teaching critical areas of law including climate law, dispute resolution, and therapeutic jurisprudence. She regularly trains and coaches practicing lawyers to improve their performance, and has trained the trainers of the Nigerian Institute of Chartered Arbitrators on how to design arbitration training courses.

 

Masters of Laws

Robert Gordon University

2015

Diploma in Legal Practice

Robert Gordon University

2007

Bachelor of Laws

University of Glasgow

2000

  • Infrastructure development law
  • Climate law
  • Legal education
  • Representation of Women in Media

Assistant Professor and JD Coordinator

College of Law, Hamad Bin Khalifa University

2017 - Present

Associate

Contentious Construction, Dentons legal practice

2016 - 2017

Clinical Instructor

College of Law, Qatar University

2012 - 2015

Solicitor

Union Litigation, Digby Brown LLP

2007 - 2012

Female Lawyers in Egyptian and Lebanese Films Over the Last 75 Years, in the International Journal of the Legal Profession (April, 2023)

Minimizing Construction Disputes in Africa by Managing Region-specific Risk in Mining and Energy Infrastructure Projects (Nalule ed, Palgrave MacMillan 2023)

Managing Construction Risk in the Natural Gas Industry in EPC Contracts- Implications of the Energy Transition in: Palgrave Handbook of Natural Gas and Global Energy Transitions (Olawuyi ed, Palgrave MacMillan 2022)

Tackling the Legally Disruptive Problem of Climate Change with Disruptive Legal Education in: Climate Change Law and Policy in the Middle East and North Africa Region (Olawuyi ed, Routledge 2021)

  • 2023; Achievement in Global Legal Education; Global Legal Skills Conference
يزن بوشماف

يزن بوشماف

عالم

البريد الإلكتروني

yboshmaf@hbku.edu.qa

الهاتف

+974 445-41552

موقع المكتب

HBKU Research Complex B1, Room 1146

يزن بوشماف

عالم

المؤهلات العلمية

PhD in Electrical and Computer Engineering

MSc Information Technology

الكيان

معهد قطر لبحوث الحوسبة

القسم

الأمن السيبراني

السيرة الذاتية

Dr. Boshmaf received his PhD in Electrical and Computer Engineering from the University of British Columbia under the mentorship of Prof. Konstantin Beznosov and Prof. Matei Ripeanu. His PhD thesis presented one of the first security analyses of malicious social bots on the web.
 

PhD in Electrical and Computer Engineering

University of British Columbia; Vancouver, Canada

2015

MSc Information Technology

University of Stuttgart, Germany

2008

BSc Computer Engineering

Jordan University of Science and Technology, Irbid, Jordan

2005

Full Stack Software Engineer

Hootsuite; Vancouver, BC Canada

2015

Research Intern

Microsoft Research Silicon Valley; Mountain View, CA USA

2014

Research Intern

Telefonica Research; Barcelona, Spain

2013

Research Intern

Facebook Menlo Park, CA USA

2012

Research Intern

Sophos Vancouver, BC Canada

2012

Research Intern

High Performance Computing Center (HLRS); Stuttgart, Germany

2008

Software Engineer

Intel Walldorf, Germany

2007

Infrastructure Consultant

Microsoft Consulting Services; Muscat, Oman

2005

Source Attribution of Cryptographic API Misuse in Android Applications; Proc. of 11th ACM Asia Conference on Computer and Communications Security (AsiaCCS '18); Songdo, Incheon Korea; Jun 2018

Interacting with Large Distributed Datasets using Sketch; Proc. of 2016 Eurographics Symposium on Parallel Graphics and Visualization (EGPGV '16); Groningen, The Netherlands; Jun 2016

Leveraging Victim Prediction for Robust Fake Account Detection in OSNs; Proc. of 2015 Network and Distributed System Security Symposium (NDSS '15); San Diego, CA USA; Feb 2015

The Socialbot Network: When Bots Socialize for Fame and Money; Proc. of 27th Annual Computer Security Applications Conference (ACSAC '11), Orlando, FL USA; Dec 2011

SIMD-Scan: Ultra Fast in-Memory Table Scan Using on-Chip Vector Processing Units; Proc. of the VLDB Endowment; Volume 2, Issue 1; Pages 385-394; Aug 2009

  • 2013; Best Paper Award; Advances in Social Networks Analysis and Mining Conference; Niagara Falls, ON Canada
  • 2012; Research Internship Award; MITACS Accelerate; Vancouver, BC Canada
  • 2011; Outstanding Paper Award; Annual Computer Security Applications Conference; Orlando, FL USA
  • 2009; Four Year Doctoral Fellowship; University of British Columbia; Vancouver, BC Canada
  • 2009; Faculty of Applied Science Award; University of British Columbia; Vancouver, BC Canada
  • 2006; Full Tuition Scholarship for Outstanding Students; University of Stuttgart; Stuttgart, Germany
  • 2001; Royal Academic Sponsorship; Jordan University of Science and Technology; Irbid, Jordan
     
الدكتور فيروج علام

الدكتور فيروج علام

عالم أول

البريد الإلكتروني

fialam@hbku.edu.qa

الهاتف

445 41582

موقع المكتب

HBKU Research Complex, 1st Floor

الدكتور فيروج علام

عالم أول

المؤهلات العلمية

PhD in Computer Science

MSc in Human Language Technology and Interface

الكيان

معهد قطر لبحوث الحوسبة

القسم

الحوسبة الاجتماعية

السيرة الذاتية

Dr. Firoj Alam is a Senior Scientist at the Qatar Computing Research Institute. He earned his PhD from the University of Trento, Italy, and has over a decade of experience in Artificial Intelligence, Deep/Machine Learning, Natural Language Processing, Social Media Content Analysis, Image Processing, and Conversational Analysis. He has published over 100 research papers (including 6 book chapters and 11 journal articles) in international journals, conferences, and notable workshops.

Dr. Alam has served as the lead principal investigator for several funded projects. His current research focuses on large language models (benchmarking, native and cultural alignment), generative AI content detection, disinformation detection, fact-checking, and multimodal propaganda detection. He has also been actively contributing to building a community of researchers in these areas by organizing workshops and shared tasks. Some notable shared tasks include the CheckThat! lab at CLEF, NLP4IF 2021, and several SemEval tasks.

He has significantly contributed to developing AI-based tools and resources to support humanitarian organizations during disaster events and aid the UN-OCHA in streamlining their Education Insecurity efforts. Dr. Alam has served as a program committee member for several top-tier conferences, including ACL, NAACL, EMNLP, ICLR, Interspeech, ICASSP, AAAI, IJCAI, and ICWSM. Additionally, he has reviewed numerous journals, including Computer Speech and Language (CSL), ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), and PLOS ONE.

PhD in Computer Science

University of Trento, Italy

2016

MSc in Human Language Technology and Interface

University of Trento, Italy

2011

BSc in Computer Science & Engineering

BRAC University, Bangladesh

2007

  • Generative AI
  • Large language models (LLMs): Benchmarking
  • native
  • local
  • and cultural alignment
  • Machine Learning (Deep Learning)
  • Natural Language Processing
  • Speech Processing
  • Affective behavioral signal processing (Empathy
  • Emotions
  • Personality traits) from speech and text
  • Social media analysis

Senior Scientist

Qatar Computing Research Institute, Hamad Bin Khalifa University

2024 - Present

Scientist

Qatar Computing Research Institute, Hamad Bin Khalifa University

2019 - 2024

Post-doctoral Researcher

Qatar Computing Research Institute, Hamad Bin Khalifa University

2017 - 2019

Research Associate

Qatar Computing Research Institute, Hamad Bin Khalifa University

2016 - 2017

PhD Researcher

SIS Lab, University of Trento, Italy

2011- 2016

Research Intern

Fondazione Bruno Kessler (FBK), Italy

2011

Research Programmer

Computer Science and Engineering, BRAC University, Bangladesh

2006 - 2010

  • Full scholarship for PhD, University of Trento, Italy.
  • Full scholarship for MSc, University of Trento, Italy.
  • Grant from ISCA to attend SLTU2010 Conference, 2010.
  • Grant from ADD to attend ADD4 Summer School, 2009.
  • Grant from PAN Localization to attend CLT’09 Conference, 2009.
  • Grant from ADD to attend ADD3 Summer School, 2008.
  • Full scholarship for the Summer School organized by PAN Localization, 2006.
ميشيل اوبتيت

ميشيل اوبتيت

عالم أول

البريد الإلكتروني

maupetit@hbku.edu.qa

الهاتف

+974 44 547 150

موقع المكتب

A155, 1st floor, RC B1

ميشيل اوبتيت

عالم أول

المؤهلات العلمية

Accreditation for Research Supervision (HDR) in Computer Science

PhD in Industrial Engineering

الكيان

معهد قطر لبحوث الحوسبة

القسم

تحليل البيانات

السيرة الذاتية

Dr. Michaël Aupetit joined QCRI in August 2014. He is a Senior Scientist at the Qatar Center for Artificial Intelligence (QCAI), working on AI foundation models design and analysis, and applying his research to health and material sciences.

Before joining QCRI, Michaël worked for 10 years as a research scientist and senior expert in data mining and visual analytics at CEA LIST in Paris Saclay, where he designed decision support systems to solve complex industrial problems in health and security domains.

Michaël initiated and co-organized 5 international workshops. He has been a PC member of IEEE VAST, EuroVis, EuroVA, PacificVis, ESANN, and ICANN conferences, and is a regular reviewer for IEEE TVCG, and the Computer Graphics Forum journal. He has published over 100 scientific papers and holds 6 US, 3 WO, and 1 EP patents. He obtained the Habilitation for Research Supervision (HDR) in Computer Science from Paris 11 Orsay University in 2012, and the PhD degree in Industrial Engineering from Grenoble National Polytechnic Institute (INPG) in 2001.
 

Accreditation for Research Supervision (HDR) in Computer Science

Paris 11 Orsay University; Orsay/France

2012

PhD in Industrial Engineering

Grenoble National Polytechnic Institute (INPG); Grenoble/France

2001

MSc in Robotics and Microelectronics

Montpelier University, Montpellier, France

1998

Engineering in Computer Science specialized in Artificial Intelligence

Ecole pour les Etudes et la Recherche en Informatique et Electronique (EERIE); Nîmes/France

1998

  • Statistical and generative machine learning
  • Representation learning
  • Visual analytics
  • Topological data analysis

Senior Scientist

Qatar Computing Research Institute; Hamad Bin Khalifa University

2019 - Present

Scientist

Qatar Computing Research Institute; Hamad Bin Khalifa University

2014 - 2018

Senior Expert Scientist

Laboratory for Integration of Systems and Technology; CEA Tech

2008 - 2014

Research Scientist

Department of Earth and Environmental Science; CEA DAM

2004 - 2008

Postdoc

Department of Earth and Environmental Science; CEA DAM

2002 - 2004

  • 2007; Award for the Best presentation at CAp 2007 French conf. on Mach.Learning; SPSS; France
  • 1998; Best M.Sc internship; CEA; Nîmes/France 
يفان زانغ

يفان زانغ

مهندس سوفت وير أول

البريد الإلكتروني

yzhang@hbku.edu.qa

الهاتف

+974 445 46129

موقع المكتب

Research Complex B1-1130

يفان زانغ

مهندس سوفت وير أول

المؤهلات العلمية

M.S. in Science (with Distinction)

B.Sc. in Engineering

الكيان

معهد قطر لبحوث الحوسبة

القسم

تحليل البيانات

السيرة الذاتية

Yifan Zhang has 20+ years of experience in research and development in speech and language-related products. Before joining QCRI, he built an information discovery engine for news discovery for Wavii (Google), developed a speech recognition engine serving millions of customers for Nuance and Autonomy. In QCRI, as part of the QCAI team, he works on Fanar, QCRI’s Generative AI project on text, speech, and image.
 

M.S. in Science (with Distinction)

Cardiff University, UK

2004

B.Sc. in Engineering

Xi’an Jiaotong University, China

2001

  • Generative AI - text, speech, image
  • Speech recognition
  • Text mining
  • Software engineering

Senior Software Engineer

Qatar Center for Artificial Intelligence, Qatar Computing Research Institute, HBKU

2013 - Present

Senior Software Engineer

Wavii (Google), US

2012 - 2013

Senior Research Engineer

SpinVox (Nuance), UK

2008 - 2012

R&D Engineer

Autonomy, UK

2005 - 2008

Lead Developer

Tianchuang Software, China

2001 - 2002

Da San Martino, G., Shaar, S., Zhang, Y., Yu, S., Barrón-Cedeño, A., & Nakov, P. (2020). PRTA: A system to support the analysis of propaganda techniques in the news. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (pp. 287–293). Online.

Zhang, Y., Da San Martino, G., Barrón-Cedeño, A., Romeo, S., An, J., Kwak, H., Staykovski, T., Jaradat, I., Karadzhov, G., Baly, R., Darwish, K., & Glass, P. N. (2019). Tanbih: Get to know what you are reading. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (pp. 223–228). Hong Kong, China.

Ali, A., Bell, P., Gales, M., Kotti, M., Kuo, H.-K. J., Liu, X., Messaoudi, A., Nadejde, M., Renals, S., Taha, Y., & Trmal, J. (2016). The MGB-2 Challenge: Arabic multi-dialect broadcast media recognition. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT 2016). California, USA.

Ali, A., Hamza, W., Lee, J., & Vogel, S. (2015). QATS – The QCRI advanced transcription and translation system. In Proceedings of INTERSPEECH 2015. Dresden, Germany.

Ali, A., Bell, P., & Renals, S. (2014). A complete Kaldi recipe for building Arabic speech recognition systems. In Proceedings of the IEEE Spoken Language Technology Workshop (SLT 2014). Nevada, USA.

  • Best Demo (Honorable Mention), ACL 2020  
  • BBC NewsHack ‘Best Audience Award’ Winner, UK, 2018  
  • BBC NewsHack ‘Best in Show’ Winner, UK, 2014,  
  • Lion Laboratories Prize for Best Project, UK, 2001
     
إحسان الله

إحسان الله

باحث بعد الدكتوراه

البريد الإلكتروني

eullah@qf.org.qa

الهاتف

+974 44545737

موقع المكتب

مكتب رقم أ102، الطابق الأول، مجمع البحوث والتنمية

إحسان الله

باحث بعد الدكتوراه

المؤهلات العلمية

Ph.D. Computer Science

M.Sc

الكيان

معهد قطر لبحوث الحوسبة

القسم

تحليل البيانات

السيرة الذاتية

Dr. Ehsan Ullah is post-doctoral researcher at Qatar Computing Research Institute, Hamad Bin Khalifa University. Dr. Ehsan received his Ph.D. degree in 2014 from Tufts University, Medford, Massachusetts. He received his M.Sc. and B.Sc. from University of Engineering and Technology, Lahore. Ehsan Ullah is interested in health informatics, computational biology, genomics and algorithms.

Ph.D. Computer Science

Tufts University Medford, USA

2014

M.Sc

Electrical Engineering University of Engineering and Technology Lahore, Pakistan

2007

B.Sc.

Electrical Engineering University of Engineering and Technology Lahore, Pakistan

2002

  • Health informatics
  • Computational biology
  • Genomics and algorithms.

Research / Teaching Assistant

Tufts University, Medford, USA.

2008-2014

Lecturer

Department of Electrical Engineering, University of Engineering and Technology Pakistan.

2004-2008

Research Assistant/Associate

Al-Khwarizmi Institute of Computer Science, Lahore Pakistan

2003-2008

Selection Finder (SelFi): A computational metabolic engineering tool to enable directed evolution of enzymes; Metabolic Engineering Communications 4, 37-47

A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project; Pacific Visualization Symposium (PacificVis), 2016 IEEE, 254-258

an algorithm for computing elementary flux modes using graph traversal; IEEE/ACM Transactions on Computational Biology and Bioinformatics

An uncertainty-aware algorithm for identifying predictable profitable pathways in biochemical networks; IEEE/ACM transactions on computational biology and bioinformatics

Discovery of substrate cycles in large scale metabolic networks using hierarchical modularity; BMC systems biology 9 (1)

Integrative 1H-NMR-based metabolomic profiling to identify type-2 diabetes biomarkers: An application to a population of Qatar; Metabolomics 5 (1),

محمد الدو

محمد الدو

باحث مشارك

البريد الإلكتروني

meldaw@hbku.edu.qa

محمد الدو

باحث مشارك

الكيان

معهد قطر لبحوث الطب الحيوي

القسم

مركز بحث السكري

السيرة الذاتية

Mr. Mohamed Eldaw Graduated from Sudan University of Science and Technology with a Bachelor's degree in Medical Laboratory Science (Microbiology) in 2006 and a Higher Diploma from Institute of Endemic Diseases-University of Khartoum in 2007. He served in various positions beginning with the Military Hospital in Sudan until he joined Shafallah Medical Genetic Center in 2010, where he worked until 2014 as a Research Assistant in Molecular Genetic Department. During this period he was involved in many projects including (Gene identification in Mendelian forms of Familial Epilepsy) and (Autosomal Recessive diseases) and the internal CAP accredited Diagnostic Laboratory. In 2014, he joined QBRI as a Research Associate in the protein laboratory.

Currently, Eldaw works with Dr. Kolatkar and is involved as a team member in various studies including mechanistic analysis of transcription factor networks involved in pluripotency and β islet cell development using a variety of methods. This includes Protein expression & purification, Bioreactor, CD, ITC, MALS, as well as X-ray crystallography. He has also helped with the techniques in biochemistry and molecular and cell biology course by assisting faculty with supervising students.

 

الدكتور أحمد سامي أبو شيخة

الدكتور أحمد سامي أبو شيخة

استاذ مشارك

الدكتور أحمد سامي أبو شيخة

استاذ مشارك

المؤهلات العلمية

Ph.D. in Petroleum Engineering

M.S. in Reservoir geosciences and engineering

الكيان

كلية العلوم والهندسة

القسم

قسم التنمية المستدامة

السيرة الذاتية

Dr. Ahmad Sami Abushaikha is a founding faculty member. He received a B.S. in Petroleum Engineering and a B.A. in Economics from University of Texas at Austin in 2004. In 2006, he received a M.S. in Reservoir Geosciences and Engineering from "Institut Français du Pétrole". From 2007 to 2009, he worked at TOTAL Research Centre at Pau, France and at Qatar Petroleum. In 2013, he received his Ph.D. in Petroleum Engineering from the Imperial College London. From 2015 to 2017, he was a Postdoctoral Research Fellow at Stanford University specializing in discretization schemes for fluid flow in porous media.

Ph.D. in Petroleum Engineering

Imperial College London, London, United Kingdom

2014

M.S. in Reservoir geosciences and engineering

École Nationale Supérieure du Pétrole et des Moteurs, Rueil-Malmaison, France

2006

B.A. in Economics

University of Texas at Austin, Texas, United States

2004

B.S. in Petroleum Engineering

University of Texas at Austin, Texas, United States

2004

 

  • Computational physics
  • Reservoir simulation
  • Petroleum engineering
  • Sustainability

Postdoctoral Research Fellow

Department of Energy Resources Engineering

2015 – 2017

QRLP- Science Track Felllow

Qatar Foundation - Research and Development, Doha, Qatar

2009 – 2015

Reservoir Engineer

North Field, Qatar Petroleum, Doha, Qatar

2004 – 2009

Ahmad S. Abushaikha, Denis V. Voskov, Hamdi A. Tchelepi, SPE Reservoir Simulation Conference; 2017, DOI:10.2118/182697-MS

A.S. Abushaikha, D.V. Voskov, H.A. Tchelepi, ECMOR XV - 15th European Conference on the Mathematics of Oil Recovery; 2016, DOI:10.3997/2214-4609.201601785

Ahmad S. Abushaikha, Martin J. Blunt, Olivier R. Gosselin, Christopher C. Pain, Matthew D. Jackson, Journal of Computational Physics; 2015; 298., DOI:10.1016/j.jcp.2015.05.024

Ahmad S. Abushaikha, Olivier R. Gosselin, Europec/EAGE Conference and Exhibition; 2008, DOI:10.2118/113890-MS

الدكتورة جولي ديكوك

الدكتورة جولي ديكوك

عالم أول

أستاذ مشارك

البريد الإلكتروني

jdecock@hbku.edu.qa

الهاتف

+974-4454-6894

الدكتورة جولي ديكوك

عالم أول

أستاذ مشارك

المؤهلات العلمية

PhD

MSc in Biomedical Sciences

الكيان

معهد قطر لبحوث الطب الحيوي

كلية العلوم الصحية والحيوية

القسم

مركز البحوث التطبيقية للسرطان

السيرة الذاتية

Dr. Julie Decock received her Master of Science (MSc) in Biomedical Sciences from the Free University of Brussels (VUB, Belgium) and completed her Doctor of Philosophy (PhD) in Medical Sciences at the Catholic University of Leuven, KU Leuven, Belgium. Her doctoral research focused on the cancer degradome, the repertoire of proteases in the tumor microenvironment that contribute to shaping the extracellular environment and modulating pericellular signaling, thereby affecting tumor progression and clinical outcome.

She joined QBRI in 2013 and established a research program in the areas of tumor antigen discovery and tumor immunity, two key research areas that can help accelerate breast cancer research and advance the development of new treatments. Currently, her research focuses on cancer testis antigens, a group of tumor associated antigens that play pivotal roles in tumorigenesis and progression, and display high tumor specificity with minimal on- and off-target side effects. Her efforts have demonstrated that cancer testis antigens not only play important roles in multiple cancer hallmarks but can also serve as tumor specific molecular targets and modulators of anti-tumor immunity, offering diverse opportunities for anti-cancer targeting.

Dr. Decock is currently a scientist at the Translational Oncology Research Center, Qatar Biomedical Research Institute (QBRI), and a joint Assistant Professor position at HBKU’s College of Health and Life Sciences (CHLS). 

PhD

Faculty of Medicine, Catholic University of Leuven (KULeuven), Belgium

2008

MSc in Biomedical Sciences

Free University of Brussels (VUB), Belgium

2002

  • Tumor-derived and circulating immune-related biomarkers in breast cancer
  • The role of cancer testis antigens within the tumor-immune ecosystem
  • Therapeutic potential of targeting cancer testis antigens for precision medicine in breast cancer
  • Genetic determinants of non-BRCA high-risk familial breast cancer

Scientist, Translational Oncology Research Center

Qatar Biomedical Research Institute (QBRI), Qatar.

2016 - present

Joint Assistant Professor

College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar.

2016 - present

Postdoctoral Researcher

Translational Oncology Research Center, Qatar Biomedical Research Institute (QBRI), Qatar.

2013 - 2016

Postdoctoral Researcher

School of Biological Sciences, Faculty of Science, University of East Anglia (UEA), UK.

2008 - 2013

Al-Siddiqi HH, Butler AE, Decock J, Mohamed-Ali V, Al-Ejeh F. Prognostic tools and candidate drugs based on plasma proteomics of patients with severe COVID-19 complications. Nat Commun. 2022;13(1):946. https://doi.org/10.1038/s41467-022-28639-4.

Targeting of lactate dehydrogenase C dysregulates the cell cycle and sensitizes breast cancer cells to DNA damage response targeted therapy. Mol Oncol. 2022 Feb;16(4):885-903. doi: 10.1002/1878-0261.13024.

Cancer testis antigen PRAME: An anti-cancer target with immunomodulatory potential. J Cell Mol Med. 2021;25(22):10376-103888. doi: 10.1111/jcmm.16967.

Immune checkpoint inhibitors in triple negative breast cancer treatment: promising future prospects. Front Oncol. 2021;10:600573. doi:10.3389/fonc.2020.600573.

Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab and European ancestry. NPJ Breast Cancer. 2021 Feb 8;7(1):10. doi: 10.1038/s41523-021-00215-x.

Immune checkpoints in the tumor microenvironment. Semin Cancer Biol. 2020;65:1-12. doi: 10.1016/j.semcancer.2019.06.021.

Lactate Metabolism and Immune Modulation in Breast Cancer: A Focused Review on Triple Negative Breast Tumors. Front. Oncol., doi:10.3389/fonc.2020.598626.

Identification of two HLA-A*0201 immunogenic epitopes of lactate dehydrogenase C (LDHC): potential novel targets for cancer immunotherapy. Cancer Immunol Immunother. 2020 Jan 13. doi: 10.1007/s00262-020-02480-4.

The obesity paradox in cancer, tumor immunology and immunotherapy: Focus on triple negative breast cancer. Front. Immunol. 10:1940. doi: 10.3389/fimmu.2019.01940. Review.

Cancer Testis Antigens and Immunotherapy: Where Do We Stand in the Targeting of PRAME? Cancers (Basel). 2019 Jul 15; 11(7). Review.

PRAME promotes epithelial-to-mesenchymal transition in triple negative breast cancer. J Transl Med. 17(1):9. doi: 10.1186/s12967-018-1757-3.

NY-ESO-1 based immunotherapy of cancer: current perspectives. Front. Immunol. 9:947. doi: 10.3389/fimmu.2018.00947. Review.

Complete list of publications https://www.ncbi.nlm.nih.gov/myncbi/julie.decock.1/bibliography/public/

  • Elected as full member of the Royal Society of Biology, UK (2022)
  • Open Initiative Award 2020, Qatar National Library, Qatar
  • Recognition for excellence 2016, Cancer Biology and Therapeutics Program (HMS-CBT), Harvard Medical School, USA
  • Open Initiative Award 2020, Qatar National Library, Qatar
  • Recognition for excellence 2016, Cancer Biology and Therapeutics Program (HMS-CBT), Harvard Medical School, USA.
  • HBKU Thematic Research Grant Program, “Validation of LDHC as a novel target for precision medicine in breast cancer”. Lead PI, 2021-2023.
  • QBRI Internal Grant Program (IGP), “Exploration of novel therapeutic opportunities targeting LDHC in triple negative breast cancer”. Lead PI, 2021-2024.
  • QBRI Interdisciplinary research program (IDRP), “Integrative, translational research against COVID-19”. Lead PI, 2021-2023.
  • QBRI Internal Grant Program (IGP), “Mechanisms in pancreatic development and breast cancer stemness mitigated by Sox2”. Co-PI, 2021-2024.
  • “How beta cell-derived interleukin-33 shapes T cell regulation in T1D”. Co-PI (2020-2023).
  • QBRI Interdisciplinary research program (IDRP), “Diagnostic and predictive biomarkers in breast cancer”. Co-PI, 2019-2024.
  • QBRI Interdisciplinary research program (IDRP), “An integrated -omic approach to identify biomarkers for Type 2 Diabetes associated complications and comorbidities”. Co-PI, 2018-2023.
  • QBRI Interdisciplinary research program (IDRP), “Identifying Potential Molecular Biomarkers for Autism Spectrum Disorder”. Co-PI, 2018-2023.
  • QBRI Internal Grant Program (IGP #2016-003), “Pilot study of the role of Lactate Dehydrogenase C (LDHC) in the growth and migratory potential of triple negative breast cancer cells”. Lead PI, 2017-2019.
  • QBRI Internal Grant Program (IGP #2014-006), “Cancer Testis Antigens as candidate targets for cancer immunotherapy of Triple Negative Breast Cancer and the role of hypoxia in T cell based immunotherapy. Lead PI, 2016-2019.