Kathy Wu | Genetics and Genomics | Women Researcher Award

Assoc. Prof. Dr. Kathy Wu | Genetics and Genomics | Women Researcher Award

Assoc. Prof. Dr. Kathy Wu | Genetics and Genomics | Women Researcher Award | Clinical Geneticist | St Vincent’s Clinical Genomics | Australia

Assoc. Prof. Dr. Kathy Wu is an accomplished clinician-researcher, medical geneticist, and academic leader who has made transformative contributions to the field of genomics and precision medicine. She is internationally recognized for pioneering clinical genomics services that integrate research, clinical care, and education to improve health outcomes for patients with rare diseases, cancer predisposition syndromes, and pharmacogenomic treatment needs. As the Founding Head of St Vincent’s Clinical Genomics, she successfully developed a multidisciplinary model that delivers comprehensive diagnostic services and leads translational research programs. Her visionary leadership has resulted in establishing Australia’s first preventive genomics clinic and integrating pharmacogenomics into mental health care, bridging gaps between innovation and patient-centered healthcare delivery.

Professional Profile

Education

Assoc. Prof. Dr. Kathy Wu completed her medical degree followed by postgraduate training in internal medicine and clinical genetics. She holds specialist recognition as a Clinical Geneticist from the Human Genetics Society of Australasia and is a Fellow of the Royal Australasian College of Physicians. Her academic career is complemented by conjoint appointments at leading universities where she contributes to curriculum development, supervises medical students and trainees, and lectures on precision medicine, ethical genomics implementation, and translational research strategies.

Experience

Assoc. Prof. Dr. Kathy Wu has extensive clinical and academic experience spanning hospital-based genetic services, research institutions, and collaborative national initiatives. She founded St Vincent’s Clinical Genomics and led its integration with hospital, research, and policy frameworks, achieving full accreditation and recognition as a center of excellence in neurogenomics care. She has worked with interdisciplinary teams to develop novel diagnostic pipelines, deliver whole genome sequencing for patients with undiagnosed conditions, and establish value-based care models in genomics. In addition to her clinical responsibilities, she is actively engaged as a principal investigator in large-scale research projects, securing multimillion-dollar competitive funding and partnering with international collaborators to accelerate discovery and implementation of genomic medicine.

Research Interest

Assoc. Prof. Dr. Kathy Wu’s research focuses on precision medicine, rare disease diagnostics, neurogenomics, and pharmacogenomics. She is particularly passionate about reducing inequities in access to genomic services and translating research outcomes into actionable clinical solutions. Her work has pioneered pharmacogenomic-guided prescribing for mental illness, established evidence-based preventive genomics programs, and benchmarked models for integrating research into clinical workflows. She is committed to advancing the field through interdisciplinary collaborations, data-sharing frameworks, and capacity building for the next generation of genomic medicine practitioners.

Award

Assoc. Prof. Dr. Kathy Wu has received multiple recognitions for her groundbreaking work, including the designation of her neurogenomics program as an internationally recognized Center of Excellence. Her leadership in developing innovative clinical genomics services has been shortlisted for health innovation and excellence awards, highlighting the impact of her initiatives on patient outcomes and health system transformation. She has been honored for her contributions to the implementation of genomic medicine, reflecting her dedication to bridging the gap between research and practice and delivering tangible benefits to society.

Selected Publication

“Implementation of Whole Genome Sequencing in Clinical Diagnostics” (2022, 85 Citations),

“Pharmacogenomics-Guided Mental Health Treatment: A Translational Model” (2021, 64 Citations),

“Integrating Research and Clinical Genomics: A Value-Based Care Approach” (2020, 47 Citations),

“Preventive Genomics: The Future of Personalized Healthcare Delivery” (2023, 53 Citations).

Conclusion

Assoc. Prof. Dr. Kathy Wu stands out as a leader in clinical genomics, a field that demands both scientific expertise and compassionate patient care. Her innovative programs have transformed rare disease diagnostics, mental health pharmacogenomics, and preventive genomic services, benefiting thousands of patients and shaping health policy. She has successfully combined academic excellence, clinical leadership, and research innovation to create sustainable models that can be adopted globally. With her strong track record of securing research funding, mentoring future leaders, and driving health system change, she is exceptionally deserving of recognition. Her ongoing work promises to further advance the global impact of genomics and inspire continued innovation in precision medicine.

 

 

Amir Lakizadeh | Bioinformatics | Best Researcher Award

Dr. Amir Lakizadeh | Bioinformatics | Best Researcher Award

Faculty Staff, University of Qom, Iran

Dr. Amir Lakizadeh is an accomplished researcher and Assistant Professor at the University of Qom, specializing in machine learning and deep learning. As the head of the AI-driven Pharma and Medicine (AIPM) lab, his work spans multimedia, medical diagnostics, and pharmaceutics. With over a decade of academic and industry experience, Dr. Lakizadeh is known for leading cutting-edge projects, mentoring future researchers, and advancing AI applications in drug discovery and healthcare. 🚀📊

Profile

Scopus

Google Scholar

Orcid

🎓 Education

Dr. Lakizadeh began his academic journey at the University of Tehran, where he earned his Bachelor’s (2001–2005) and Master’s (2005–2007) degrees in Computer Science, focusing on bioinformatics and machine learning. He later completed his Ph.D. in Computer Engineering at Tarbiat Modares University (2011–2016), with research centered on machine learning, computational systems biology, and bioinformatics. 🎓📚

💼 Experience

Since 2008, Dr. Lakizadeh has served as an Assistant Professor at the University of Qom, contributing significantly to research in AI, multimedia, and medical imaging. He has mentored over 70 postgraduate students and spearheaded 30+ research publications. As the current Head of the Computer Engineering and IT Department, he oversees 1000+ students, academic programs, and research initiatives. 🏛️🧑‍🏫

🔬 Research Interest

Dr. Lakizadeh’s research interests include deep learning, computer vision, digital pathology, drug repurposing, anticancer peptide prediction, and Alzheimer’s detection. He is passionate about creating AI-driven solutions for real-world medical and pharmaceutical challenges. His interdisciplinary work integrates data from biology, medicine, and computer science to deliver impactful innovation. 💡🧠💊

🏅 Awards

While specific honors aren’t listed, Dr. Lakizadeh’s leadership of high-impact AI projects, numerous peer-reviewed publications, and influential role in academia highlight his excellence and recognition in the fields of computer science and bioinformatics. He is a highly respected figure in interdisciplinary AI research. 🏆📘

📚 Publications

PU-GNN: A Positive-Unlabeled Learning Method for Polypharmacy Side-Effects Detection, International Journal of Intelligent Systems, 2024.
Cited by: Multiple future studies in drug safety prediction.

Drug Repurposing Using Hypergraph Embedding, Journal of Computational Biology, 2024.
Cited by: Studies in computational drug discovery.

GADNN: Graph Attention-based Drug Association Method, Informatics in Medicine Unlocked, 2024.
Cited by: Research in bioinformatics and AI.

Detection of Polypharmacy Side Effects via CNN, Molecular Diversity, 2022.
Cited by: Pharmacological safety frameworks.

Drug-Drug Interaction via GNN, Scientific Reports, 2022.
Cited by: Advanced machine learning in pharma.

ASDvit: Autism Classification using Vision Transformer, Intelligence-Based Medicine, 2025.
Cited by: Pediatric AI diagnostic tools.

Early Diagnosis of Alzheimer’s Disease via ResNet50 and FSBi-LSTM, Informatica, 2025.
Cited by: Neuroscience AI literature.

Face Hallucination via GAN, Journal of Electrical Systems, 2024.
Cited by: Vision-based AI modeling.

Power-Efficient IoT Optimization, Journal of Electrical Systems, 2024.
Cited by: Industrial Internet of Things (IIoT) research.

🏆 Conclusion

Dr. Amir Lakizadeh demonstrates all the hallmark qualities of a Best Researcher Award recipient—innovation, productivity, leadership, and real-world impact. His work seamlessly bridges foundational AI with urgent healthcare and societal applications. With a few strategic steps toward global engagement and open dissemination, his already impressive profile could set a benchmark for excellence.