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Approximating a kernel of truth

Mar 12, 2020

Machine learning tasks using very large data sets can be sped up significantly by estimating the kernel function that best describes the data.

ML Hub Lectures: Takashi Gojobori

Feb 24, 2020

Dr. Takashi Gojobori, Acting Director of Computational Bioscience Research Center and distinguished professor of bioscience (CBRC) gave a talk on Machine Learning Scan of Complete Genome Sequences of 4,500 Rice Varieties reveals Secrets in the Domestication Process of Crops.

Ramzan Umarov Ph.D. Dissertation Defense | Novel computational methods for promoter identification and analysis

Feb 17, 2020

Ramzan Umarov, a Ph.D. candidate under the supervision of Professor Xin Gao successfully defended his Ph.D. thesis "Novel computational methods for promoter identification and analysis"

Retired KAUST SVP Jean Fréchet awarded Charles Stark Draper Prize for Engineering

Feb 12, 2020

The National Academy of Engineering announced that the 2020 Charles Stark Draper Prize for Engineering will be awarded to Jean Fréchet

CBRC Congratulates Professor Carlos Duarte for winning the BBVA Foundation "Frontiers of Knowledge Award" in the area of Ecology and Conservation Biology.

Feb 05, 2020

The BBVA Foundation Frontiers of Knowledge Award in Ecology and Conservation Biology has gone in this twelfth edition to marine biologists Carlos Duarte, Terence Hughes James Cook University and Daniel Pauly of the University of British Columbia for “their seminal contributions to our understanding of the world’s oceans, and their efforts to protect and conserve marine biodiversity and oceanic ecosystem services in a rapidly changing world,” in the words of the award citation.

Alumni Feature: Siham Fatani

Jan 28, 2020

CBRC Ph.D. graduate Siham Fatani is currently working as a senior chemist in the Research and Development department in Halliburton, Dammam.

CBRC congratulates student poster competitions winners at this year's conference

Jan 23, 2020

All KAUST students with research in the field of Digital Health were invited to submit a poster for the student poster competition portion of the KAUST Research Conference: Digital Health 2020, held on January 20-22.

Faculty Focus: Taous-Meriem Laleg-Kirati

Jan 21, 2020

Laleg-Kirati leads the Estimation, Modeling and Analysis (EMAN) research group in Computational Bioscience Research Center at KAUST, and her interests lie in control theory, system modeling and signal applications. She investigates multiple engineering disciplines and develops mathematical models and algorithms that control processes relying on real-time feedback.

Algorithm turns cancer gene discovery on its head

Jan 20, 2020

Prediction method could help personalize cancer treatments and reveal new drug targets.

KAUST Associate Professor Taous-Meriem Laleg-Kirati finalist at Leadership Excellence for Women Awards & Symposium

Jan 20, 2020

CBRC Associate Professor Taous-Meriem Laleg-Kirati, was nominated for the award by former KAUST research scientists and students based on her outstanding achievements and participation in science and engineering and for her continuous advocacy for women in science.

LD Motif Finder locates ancient hidden protein patterns

Jan 07, 2020

LD Motif Finder locates ancient hidden protein patterns
A machine learning method has identified highly elusive amino acid sequences involved in cell morphogenesis and adhesion and in diseases like cancer.

CBRC hosts Annual staff Appreciation 2019

Dec 29, 2019

CBRC hosted an end of year dinner at the King Abdullah Monument in KAUST, on December 10, 2019. It was an appreciation dinner for all the Staff members, Faculty, Students and their Families.

KAUST research conference: Digital Heatlh 2020

Dec 29, 2019

KAUST research conference: Digital Heatlh 2020

Computing solutions for biological problems

Dec 04, 2019

Xin Gao’s research is building bridges between computer science and biology.

As a member of the Computational Bioscience Research Center at KAUST, Xin's research lies at the intersection between computer science and biology. His work has two main focuses: 1) developing theory and methodology in the fields of machine learning and algorithms and 2) solving key open problems in biological and medical fields through building computational models, developing machine-learning techniques and designing effective and efficient algorithms.

Breaking the limits of learning

Dec 03, 2019

Before joining KAUST, Zhang obtained her M.S. and B.S. degrees in computer science from Xi'an Jiaotong University, China, in 2006 and 2003, respectively.

In 2010, she earned her Ph.D. degree in computer science from INRIA and the University of Paris-Sud, France, and was a European ERCIM research fellow at the Norwegian University of Science and Technology.

It was in the midst of her studies that Zhang began to see herself realizing her goal of becoming a faculty member.