Batablinlè Lamboni | Data Analysis Innovation | Excellence in Innovation

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Dr. Batablinlè Lamboni, Data Analysis Innovation, Excellence in Innovation

Doctorate at Ecole normale superieure /université de Lomé, Togo

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🌟Summary

Mr. Lamboni Batablinlè is a dedicated Maître Assistant and researcher affiliated with multiple laboratories at the University of Lomé and the University of Abomey Calavi. He currently serves as the Head of Physics and Chemistry at the Ecole Normale Supérieure in Atakpamé, Togo. His professional journey encompasses teaching, research, and leadership roles, emphasizing collaboration, scientific promotion, and strategic development in educational settings.

🎓Education

  • Ph.D. in Atmospheric Physics and Hydrology Institute of Mathematics and Physical Sciences, University of Abomey Calavi, Benin, October 2016 – October 2019
  • M.Sc. in Mathematical Physics Institute of Mathematics and Physical Sciences, University of Abomey Calavi, Benin, October 2015 – October 2016
  • Engineering Degree in Water and Sanitation Engineering Institute of Environmental Engineering and Sustainable Development, University of Ouagadougou, Burkina Faso, January 2011 – January 2012
  • Masters in Mathematical Physics University of Lomé, Togo, October 2003 – October 2007
  • Bachelor’s in Physics-Mathematics University of Lomé, Togo, October 2003 – October 2006

💼 Professional Experience

Mr. Lamboni oversees teaching allocation and research activities at Ecole Normale Supérieure, Atakpamé. His responsibilities include curriculum development, thesis supervision, and educational quality assurance. He also leads national and international scientific initiatives, focusing on cooperative partnerships and project management.

🔬 Research Interests

Mr. Lamboni Batablinlè is deeply engaged in multidisciplinary research focusing on atmospheric physics, hydrology, and renewable energy applications in West Africa. His current research interests encompass several key areas, including climate change impacts on water resources, hydrological modeling, and the assessment of renewable energy potentials such as wind and solar energy. He explores methodologies for analyzing and projecting future climate scenarios, particularly their implications on precipitation patterns, evapotranspiration, and stream flows in the Mono River Basin. Additionally, Mr. Batablinlè is involved in developing statistical models for detecting trends and variations in meteorological variables, aiming to enhance our understanding of environmental dynamics and support sustainable resource management strategies in the region.

📖 Publication Top Noted

Article Title: Trends and changes detection in rainfall, temperature and wind speed in Burundi

    • Authors: A.E. Lawin, C. Manirakiza, B. Lamboni
    • Journal: Journal of Water and Climate Change
    • Volume: 10
    • Issue: 4
    • Pages: 852–870
    • Year: 2019

 Article Title: Extreme Rainfall and Temperature Changes Assessment on late-twenty-first-century over the Mono River Basin, Togo (West-Africa)

    • Authors: B. Lamboni, A.E. Lawin, C. Manirakiza, D.L. Olabodé
    • Proceedings: Proceedings of the International Association of Hydrological Sciences
    • Volume: 383
    • Pages: 69–78
    • Year: 2020

Article Title: Future changes in precipitation, evapotranspiration and streamflows in the Mono Basin of West Africa

    • Authors: L. Batablinlè, L.E. Agnidé, K.D. Japhet, A. Ernest, V. Expédit
    • Proceedings: Proceedings of the International Association of Hydrological Sciences
    • Volume: 384
    • Pages: 283–288
    • Year: 2021

Article Title: Climate, water, hydropower, wind speed and wind energy potential resources assessments using weather time series data, downscaled regional circulation models: A case study for Mono River Basin in the Gulf of Guinea region

  • Authors: L. Batablinlè, S.D. Bazyomo, F.D. Badou, M. Banna, A.E. Lawin
  • Journal: Renewable Energy
  • Volume: 224
  • Pages: 120099
  • Year: 2024

Eric Holland | Big Data Analytics | Best Researcher Award

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Prof Dr. Eric Holland, Big Data Analytics, Best Researcher Award

Prof Dr. Eric Holland at Fred Hutch Cancer Center, United States

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🌟 Summary

Eric Charles Holland is a distinguished researcher and academician specializing in neuro-oncology, currently serving as a Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA. With extensive experience spanning clinical practice and translational research, he has made significant contributions to understanding and treating brain tumors.

🎓 Education

Eric Charles Holland pursued an academic journey marked by excellence and dedication to biomedical sciences. He earned his Bachelor of Science degree in Chemistry from Miami University in Oxford, OH, from 1977 to 1981, setting a solid foundation in the fundamentals of chemical sciences. Continuing his academic pursuits, Holland completed his PhD in Biochemistry & Molecular Biology at the University of Chicago from 1981 to 1985, where he engaged deeply in the molecular mechanisms underlying biological processes. Following his PhD, he further expanded his expertise by obtaining an MD in Medicine from Stanford University between 1985 and 1990, thereby integrating clinical insights with his strong research background.

💼 Professional Experience

Eric Charles Holland is a distinguished figure in neuro-oncology with a robust professional trajectory spanning prestigious institutions and significant leadership roles. He currently holds the position of Professor in the Human Biology Division at the Fred Hutchinson Cancer Research Center in Seattle, WA, a role he has held since 2013. Previously, he served as the Director of the Nancy and Buster Alvord Brain Tumor Center at the University of Washington, Seattle, WA, from 2013 to 2019. Prior to that, he was an Attending Surgeon at Memorial Hospital for Cancer and Allied Diseases in New York, NY, from 2006 to 2013, where he also held an Associate Professorship at Cornell University from 2000 to 2006. His career is distinguished by his contributions to advancing neurosurgical techniques and his leadership in multidisciplinary research initiatives aimed at improving treatments for brain tumors.

🔬 Research Interests

Eric Charles Holland is renowned for his pioneering research in neuro-oncology, focusing particularly on gliomas, the most common type of brain tumor. His research spans from basic molecular biology to translational studies aimed at developing innovative therapies. Holland is deeply engaged in understanding the genetic and molecular mechanisms that drive glioma formation and progression, utilizing advanced techniques such as transgenic models to simulate human disease conditions. His work also delves into the complex interactions within the tumor microenvironment and their impact on treatment outcomes. Holland’s interdisciplinary approach integrates molecular biology, genetics, and clinical research, aiming to accelerate the translation of scientific discoveries into effective therapies for patients with brain tumors.

📖 Publication Top Noted

Paper Title: CSF-1R inhibition alters macrophage polarization and blocks glioma progression
    • Authors: Stephanie M Pyonteck, Leila Akkari, Alberto J Schuhmacher, Robert L Bowman, Lisa Sevenich, Daniela F Quail, Oakley C Olson, Marsha L Quick, Jason T Huse, Virginia Teijeiro, Manu Setty, Christina S Leslie, Yoko Oei, Alicia Pedraza, Jianan Zhang, Cameron W Brennan, James C Sutton, Eric C Holland, Dylan Daniel, Johanna A Joyce
    • Journal: Nature medicine
    • Year: 2013
Paper Title: A brain tumor molecular imaging strategy using a new triple-modality MRI-photoacoustic-Raman nanoparticle
    • Authors: Moritz F Kircher, Adam De La Zerda, Jesse V Jokerst, Cristina L Zavaleta, Paul J Kempen, Erik Mittra, Ken Pitter, Ruimin Huang, Carl Campos, Frezghi Habte, Robert Sinclair, Cameron W Brennan, Ingo K Mellinghoff, Eric C Holland, Sanjiv S Gambhir
    • Journal: Lecture Notes in Networks and Systems
    • Year: 2012
    •  citations: 1157
Paper Title: Genomic Analysis of Non-NF2 Meningiomas Reveals Mutations in TRAF7, KLF4, AKT1, and SMO
    • Authors: Victoria E Clark, E Zeynep Erson-Omay, Akdes Serin, Jun Yin, Justin Cotney, Koray Özduman, Timuçin Avşar, Jie Li, Phillip B Murray, Octavian Henegariu, Saliha Yilmaz, Jennifer Moliterno Günel, Geneive Carrión-Grant, Baran Yılmaz, Conor Grady, Bahattin Tanrıkulu, Mehmet Bakırcıoğlu, Hande Kaymakçalan, Ahmet Okay Caglayan, Leman Sencar, Emre Ceyhun, A Fatih Atik, Yaşar Bayri, Hanwen Bai, Luis E Kolb, Ryan M Hebert, S Bulent Omay, Ketu Mishra-Gorur, Murim Choi, John D Overton, Eric C Holland, Shrikant Mane, Matthew W State, Kaya Bilgüvar, Joachim M Baehring, Philip H Gutin, Joseph M Piepmeier, Alexander Vortmeyer, Cameron W Brennan, M Necmettin Pamir, Türker Kılıç, Richard P Lifton, James P Noonan, Katsuhito Yasuno, Murat Günel
    • Journal: Science
    • Year: 2013
    •  citations: 856
Paper Title: The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo
    • Authors:Jason T Huse, Cameron Brennan, Dolores Hambardzumyan, Boyoung Wee, John Pena, Sara H Rouhanifard, Cherin Sohn-Lee, Carlos Le Sage, Reuven Agami, Thomas Tuschl, Eric C Holland
    • Journal: Proceedings of the National Academy of Sciences
    • Year: 2009
    •  citations: 664
Paper Title: Intratumoral heterogeneity of receptor tyrosine kinases EGFR and PDGFRA amplification in glioblastoma defines subpopulations with distinct growth factor response
  • Authors: Nicholas J Szerlip, Alicia Pedraza, Debyani Chakravarty, Mohammad Azim, Jeremy McGuire, Yuqiang Fang, Tatsuya Ozawa, Eric C Holland, Jason T Huse, Suresh Jhanwar, Margaret A Leversha, Tom Mikkelsen, Cameron W Brennan
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2012
  •  citations: 611

Serena Nik-Zainal | Big Data Analytics | Best Researcher Award

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Prof. Serena Nik-Zainal, Big Data Analytics, Best Researcher Award

Professor at University of Cambridge, United Kingdom

Professional Profile

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🎓 Education 

  • University of Cambridge
    • B.A. (hons) – First, Physiology, 1998
    • M.B., B.Chir., Medicine/Surgery, 2000
  • Royal College of Physicians
    • M.R.C.P., Medicine, 2003
  • Wellcome Trust Sanger Institute
    • Ph.D., Cancer Genomics, 2012
  • Royal College of Physicians Specialist Register
    • Certification, Clinical Genetics, 2013

🌟 Personal Statement 

After earning a first-class degree in preclinical science and a medical degree from the University of Cambridge, sponsored by Petroliam Nasional Berhad Malaysia (PETRONAS) and as a Fellow of the Cambridge Commonwealth Trust, I specialized in Clinical Genetics. I have been an Honorary Consultant in Clinical Genetics at Cambridge University Hospitals NHS Foundation Trust since February 2013. My Ph.D. at the Wellcome Sanger Institute in 2012 focused on using next-generation sequencing (NGS) technology to explore cancer, leading to significant advancements in understanding tumor biology and mutational signatures. My current research integrates computational and experimental approaches to advance cancer genomics, developing machine-learning-based clinical algorithms and participating in large-scale projects like the UK 100,000 Genomes Project.

🏢 Positions and Honors 

Positions and Employment

  • Medical Student, University of Cambridge (1995-2000)
  • Pre-registration House Officer, East Anglian Deanery (2001-2002)
  • Senior House Officer, Medicine, East Anglian Deanery (2002-2004)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2004-2009)
  • Wellcome Clinical Research Training Fellow, Wellcome Sanger Institute (2009-2012)
  • Specialist Registrar in Clinical Genetics, East Anglian Deanery (2012-2013)
  • Wellcome Intermediate Clinical Research Training Fellow, Wellcome Sanger Institute (2013-2017)
  • Career Development Fellow, Wellcome Sanger Institute (2014-2017)
  • CRUK Advanced Clinician Scientist, University of Cambridge (2017-2021)
  • NIHR Research Professor of Genomic Medicine and Bioinformatics, University of Cambridge (2021-present)

Professional Memberships and Other Experience

  • Member, British Society of Genetic Medicine (2013-present)
  • EACR Ambassador (2015-present)
  • Member, Various Scientific Advisory Boards and Committees (2017-present)
  • Honorary NHS Consultant in Clinical Genetics, Cambridge University Hospital (2013-present)

Honors

  • Fellow of the Academy of Medical Sciences UK (2023)
  • Foulkes Foundation Medal UK (2021)
  • Sir Francis Crick Medal and Lecture from the Royal Society UK (2021)
  • Highly-Cited Researcher’s List Clarivate (2020)
  • EMBO Elected Fellow (2020)
  • Dr Josef Steiner Cancer Research Award (2019)
  • CRUK Pioneer Award (2016)
  • William Bate Hardy Prize (2014)
  • CRUK Future Leaders Prize (2014)
  • Wellcome-Beit Prize (2013)
  • AACR Scholar-in-training Award (2013)
  • EACR Susan G. Komen Prize (2012)
  • Robin Winter Prize (2012)

📚 Research Support 

Ongoing Research Support

  • NHSE Driver Project (Jan 2023-Mar 2024)
  • Breast Cancer Research Foundation (Oct 2022-ongoing)
  • CRUK/NIH Grand Challenge eDyNAmic (Jun 2022-May 2027)
  • UKRI DARE Sprint Exemplar (Jan 2022-Oct 2022)
  • NIHR Research Professorship (Dec 2021-Nov 2026)
  • Basser Gray Foundation Award (Dec 2020-Nov 2024)
  • Josef Steiner Award (Jun 2019-May 2023)

Completed Research Support

  • CRUK Early Detection Project Award (Jun 2019-May 2023)
  • CRUK Grand Challenge Award (May 2017-Apr 2024)
  • CRUK Advanced Clinician Scientist Award (Feb 2017-Oct 2022)
  • CRUK Pioneer Award (Oct 2016-Nov 2020)
  • Wellcome Trust Strategic Award (Sept 2013-July 2019)
  • Wellcome-Beit Prize (May 2013-May 2018)
  • Wellcome Intermediate Clinical Research Fellowship (Feb 2013-Jan 2017)

Beyond science, I have shared insights on women in STEM and my journey as a physician-scientist through essays in renowned journals.

📖 Publication Top Noted:

Paper Title: The patterns and dynamics of genomic instability in metastatic pancreatic cancer
  • Authors: Peter J Campbell, Shinichi Yachida, Laura J Mudie, Philip J Stephens, Erin D Pleasance, Lucy A Stebbings, Laura A Morsberger, Calli Latimer, Stuart McLaren, Meng-Lay Lin, David J McBride, Ignacio Varela, Serena A Nik-Zainal, Catherine Leroy, Mingming Jia, Andrew Menzies, Adam P Butler, Jon W Teague, Constance A Griffin, John Burton, Harold Swerdlow, Michael A Quail, Michael R Stratton, Christine Iacobuzio-Donahue, P Andrew Futreal
  • Journal: Nature
  • Year:  2010
  • citations: 1560
Paper Title: Pan-cancer analysis of whole genomes
  • Authors: Dendy Adanta, Imam Syofii, Dewi Puspita Sari, Apri Wiyono
  • Journal: Nature
  • Year:  2020
  •  citations: 1736
Paper Title: Mutational signatures associated with tobacco smoking in human cancer
  • Authors:Ludmil B Alexandrov, Young Seok Ju, Kerstin Haase, Peter Van Loo, Iñigo Martincorena, Serena Nik-Zainal, Yasushi Totoki, Akihiro Fujimoto, Hidewaki Nakagawa, Tatsuhiro Shibata, Peter J Campbell, Paolo Vineis, David H Phillips, Michael R Stratton
  • Journal: Science
  • Year:  2016
  •  citations: 1034
Paper Title: Clock-like mutational processes in human somatic cells
  • Authors: Ludmil B Alexandrov, Philip H Jones, David C Wedge, Julian E Sale, Peter J Campbell, Serena Nik-Zainal, Michael R Stratton
  • Journal: Nature genetics
  • Year:  2015
  •  citations: 990
Paper Title: Heterogeneity of genomic evolution and mutational profiles in multiple myeloma
  • Authors: Niccolo Bolli, Hervé Avet-Loiseau, David C Wedge, Peter Van Loo, Ludmil B Alexandrov, Inigo Martincorena, Kevin J Dawson, Francesco Iorio, Serena Nik-Zainal, Graham R Bignell, Jonathan W Hinton, Yilong Li, Jose MC Tubio, Stuart McLaren, Sarah O’Meara, Adam P Butler, Jon W Teague, Laura Mudie, Elizabeth Anderson, Naim Rashid, Yu-Tzu Tai, Masood A Shammas, Adam S Sperling, Mariateresa Fulciniti, Paul G Richardson, Giovanni Parmigiani, Florence Magrangeas, Stephane Minvielle, Philippe Moreau, Michel Attal, Thierry Facon, P Andrew Futreal, Kenneth C Anderson, Peter J Campbell, Nikhil C Munshi
  • Journal: Nature communications
  • Year: 2014
  •  citations: 963

Lin Yuanbo Wu – Data analytics – Women Researcher Award

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Assoc Prof Dr. Lin Yuanbo Wu - Data analytics - Women Researcher Award 

Department of Computer Science - United Kingdom

Author Profile

Early Academic Pursuits

Assoc Prof Dr. Lin Yuanbo Wu's academic journey commenced with a strong foundation in computer science, evident from his early contributions and endeavors. Throughout his academic pursuit, Lin Wu demonstrated a keen interest in interdisciplinary research, delving into areas such as computer vision, machine learning, and artificial intelligence. His undergraduate studies provided him with a comprehensive understanding of core computer science principles, laying the groundwork for his future research endeavors.

Contributions and Research Focus On Data analytics

Assoc Prof Dr. Lin Wu's early research focused on fundamental concepts in computer vision and image processing. He explored innovative approaches for tasks such as image forgery detection, camera calibration, and object recognition. His contributions in these areas showcased his ability to apply theoretical knowledge to real-world problems, highlighting his commitment to advancing the field of computer science through practical applications.

Accolades and Recognition

Assoc Prof Dr. Lin Yuanbo Wu's early academic endeavors were met with recognition and accolades, underscoring the significance of his contributions to the academic community. Awards such as the Best Research Paper Runner-Up at the Pacific Asian Knowledge Discovery and Data Ming conference and the Award for Growth at the EUREKA International Innovation and Entrepreneurship Competition underscored his exceptional research capabilities and innovative thinking.

Impact and Influence

Assoc Prof Dr. Lin Wu's early research laid the groundwork for his subsequent achievements and established him as a notable figure in the field of computer science. His work in image forgery detection and camera calibration contributed to advancements in security and surveillance technologies, demonstrating his ability to address real-world challenges through innovative solutions.

Legacy and Future Contributions

Assoc Prof Dr. Lin Yuanbo Wu's early academic pursuits set the stage for a prolific research career characterized by groundbreaking contributions to computer vision, machine learning, and artificial intelligence. His legacy is one of innovation, collaboration, and excellence, inspiring future generations of researchers to push the boundaries of knowledge and technology. As he continues his academic journey, Lin Wu remains committed to addressing complex challenges and driving positive change through his research endeavors.

Citations

  • Citations   4847
  • h-index       32
  • i10-index    50

Notable Publication