Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

Dr. Chaima AOUICHE | Mathematics and Bioinformatics | Outstanding Scientist Award

Dr. Chaima Aouiche is a dedicated academic and researcher in computer science with expertise in artificial intelligence, machine learning, cybersecurity, and bioinformatics. Born on October 24, 1990, in Tebessa, Algeria, she began her academic journey at Larbi Tebessi University and pursued her Ph.D. at Northwestern Polytechnical University (NPU), China. With international exposure, Dr. Aouiche has authored impactful publications on cancer gene prediction, data integration, and AI-based energy systems. She has collaborated across disciplines and countries, contributing to international conferences and peer-reviewed journals. Currently serving as a university teacher in Algeria, she is also a multilingual educator with teaching experience in China and Algeria. Dr. Aouiche combines technical knowledge with strong interpersonal skills and a passion for teaching, traveling, and community service, making her a well-rounded and globally competent scholar committed to innovation and education.

Profile

🎓 Education

Dr. Chaima Aouiche holds a strong academic foundation in computer science. She earned her Bachelor’s degree (2008–2011) and Master’s degree (2011–2013) in Computer Science from Larbi Tebessi University, Algeria, where she was recognized with the “Outstanding Student Award” in 2013. She expanded her horizons by studying the Chinese language for a year (2013–2014) at Northwestern Polytechnical University (NPU) in Xi’an, China. She then pursued a Ph.D. in Computer Science and Technology at NPU (2014–2021), focusing on stage-specific gene prediction, big data integration, and artificial intelligence. Throughout her academic journey, she acquired various global certifications, including Artificial Intelligence Foundations, Advanced Machine Learning, and Deep Learning, further enriching her qualifications. With multilingual skills in Arabic, French, English, and Chinese, she integrates global perspectives into her research and teaching. Her academic path reflects both depth and international breadth.

🧪 Experience

Dr. Chaima Aouiche has a diverse background in academia, industry, and cross-cultural teaching. She began her professional career in project management at MPE-MPI Investments, Tebessa (2011–2013), where she gained hands-on technical and administrative skills. In 2017, she taught English and Arabic in Xi’an, China, enhancing her intercultural communication and educational outreach. Currently, she works as a university teacher in Algeria, engaging in teaching, research supervision, and publication. Her training includes courses in project management, AI, and big data, complemented by technical expertise in programming (Python, Java, R), MATLAB, web technologies, and networking. Her ability to communicate in four languages (Arabic, French, English, Chinese) and her volunteering and mentoring activities reflect her commitment to holistic professional development. Dr. Aouiche’s career is defined by interdisciplinary collaboration, international exposure, and a passion for applied technological solutions, making her an asset in both academia and industry.

🏅 Awards and Honors

Dr. Aouiche’s academic and professional excellence has been recognized through multiple awards and certificates. She was awarded the Outstanding Student Award by Larbi Tebessi University in 2013. Her further accolades include numerous international certifications, such as the HSK 4 Chinese Proficiency Certificate, Artificial Intelligence and Big Data Training (Xi’an Jiaotong University), AI Foundations Masterclass (2023), and Advanced Machine Learning and Deep Learning Certificates (2024). She has also been recognized for her participation in global academic initiatives, such as the International Winter Camp (2017) and the Silk Road Engineering Science Program (2020). In addition to formal honors, her significant co-authorship on high-impact publications in BMC Bioinformatics, Frontiers in Genetics, and IEEE conferences speaks to her professional standing. These accolades collectively highlight her dedication to academic distinction, global engagement, and technological innovation.

🔬 Research Focus

Dr. Aouiche’s research intersects bioinformatics, artificial intelligence, machine learning, and cybersecurity. Her work has emphasized integrating multiple datasets to predict stage-specific cancer-related genes, mapping copy number variations, and modeling aberrant genomic events. She co-authored key studies published in BMC Bioinformatics, Frontiers in Genetics, and Quantitative Biology, which propose dynamic gene modules and data-driven cancer diagnostics. Recent work explores ensemble learning and AI approaches to detect cyberattacks using integrated datasets, showing a pivot toward cybersecurity and smart systems. Additionally, her research extends into renewable energy, specifically applying AI models to optimize photovoltaic systems and MPPT (Maximum Power Point Tracking) control. Her interdisciplinary approach bridges computational biology and engineering, reflecting her adaptability and innovative vision. Dr. Aouiche is particularly interested in applied AI that addresses real-world challenges in medicine, energy, and security, with a growing focus on industry 4.0 applications.

Conclusion

Dr. Chaima Aouiche is an innovative computer scientist and academic whose international education, multidisciplinary research in AI and bioinformatics, commitment to teaching, and dynamic professional experiences make her a valuable contributor to global science and technology.

Publications

Fan Zhang | Proteomics | Best Researcher Award

Dr. Fan Zhang | Proteomics | Best Researcher Award

Fan Zhang, born on September 23, 1991, is a postdoctoral researcher specializing in cancer proteogenomics 🔬. He is currently with the Department of Pathology at Duke University 🏛️. His research leverages mass spectrometry and bioinformatics 🖥️ to investigate metabolic pathways in therapy-resistant prostate cancer and other malignancies. He has received the FY23 Prostate Cancer Research Program Early Investigator Research Award 🏆 for his work on glutamine metabolism in advanced prostate cancer. His contributions to proteogenomics have resulted in multiple high-impact publications 📄 in Nature Communications, Cell Research, and Molecular & Cellular Proteomics. Proficient in LC-MS/MS, bioinformatics analysis, and experimental techniques, his research bridges the gap between basic cancer biology and clinical applications 🏥, paving the way for novel therapeutic strategies in oncology.

Profile

Education 🎓

Fan Zhang holds a Ph.D. in Biochemistry and Molecular Biology from Fudan University (2015-2020), where he focused on proteogenomic research. He further pursued postdoctoral training in Clinical Medicine at Fudan University (2020-2022) before joining Duke University as a postdoctoral researcher in the Department of Pathology in 2023. His academic journey began with a B.S. in Applied Biological Science from Anhui Agricultural University (2011-2015). Throughout his education, he gained expertise in genomics, transcriptomics, and proteomics, developing a strong foundation in bioinformatics and experimental methodologies. His interdisciplinary training has equipped him with skills in mass spectrometry-based proteomics, omics data analysis, and cancer metabolism research. His current research at Duke University focuses on metabolic vulnerabilities in prostate cancer, aiming to develop targeted therapies. His diverse academic background enables him to integrate various scientific disciplines, contributing significantly to cancer research and precision medicine.

Experience 👨‍🏫

Fan Zhang has extensive research experience in cancer proteogenomics. Currently a postdoctoral researcher at Duke University (2023-present), he investigates metabolic vulnerabilities in prostate cancer using advanced mass spectrometry and omics analysis. Previously, he was a postdoc in Clinical Medicine at Fudan University (2020-2022), where he contributed to proteogenomic studies on various cancers, including pituitary neuroendocrine tumors and diffuse large B-cell lymphoma. His Ph.D. at Fudan University (2015-2020) focused on proteogenomic characterizations of cancer, leading to high-impact publications. He is proficient in LC-MS/MS, bioinformatics, and experimental methodologies such as Western blotting, immunofluorescence, and cell culture. His research integrates mass spectrometry with genomics and transcriptomics to uncover novel therapeutic targets. With expertise in multi-omics data analysis, he has significantly contributed to the field of cancer biology. His work is supported by prestigious grants, highlighting his role as a leading researcher in proteogenomics and precision oncology.

Research Interests 🔬

Fan Zhang’s research focuses on proteogenomics and cancer metabolism, particularly in therapy-resistant malignancies like prostate cancer, pituitary neuroendocrine tumors, and diffuse large B-cell lymphoma. He specializes in mass spectrometry-based proteomics (DDA, DIA) and integrates multi-omics approaches, including genomics, transcriptomics, and metabolomics, to uncover novel cancer vulnerabilities. His current work at Duke University investigates glutamine metabolism in castration-resistant prostate cancer, aiming to develop targeted therapies. His expertise extends to bioinformatics analysis, large-cohort omics data interpretation, and advanced LC-MS/MS techniques for various biological samples. His research has led to multiple high-impact publications, highlighting his ability to translate complex molecular data into potential clinical applications. By combining experimental and computational approaches, he aims to identify biomarkers and therapeutic targets that can improve cancer treatment. His contributions to proteogenomics play a crucial role in advancing precision oncology and understanding the metabolic reprogramming of aggressive cancers.

 

Awards & Recognitions 🏅

Fan Zhang has received multiple awards and recognitions for his contributions to cancer proteogenomics. He was awarded the Fiscal Year 2023 (FY23) Prostate Cancer Research Program (PCRP) Early Investigator Research Award (2023-2025) for his project on targeting glutamine metabolism in advanced prostate cancer (Award Number HT9425-24-1-0237). His research has been recognized through multiple first-author and co-first-author publications in high-impact journals such as Nature Communications, Molecular & Cellular Proteomics, Cell Research, and The Prostate. His work has also been featured as a cover article in Cell Research (2022). His expertise in mass spectrometry, proteogenomics, and bioinformatics has positioned him as a leading young investigator in the field. In addition to research grants, he has received accolades for his innovative contributions to metabolic studies in oncology. His commitment to advancing cancer research has been instrumental in developing novel therapeutic strategies for therapy-resistant malignancies.

Publications 📚