Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

University of Toronto, Canada 

🔗 Profile

Google Scholar 

Early Academic Pursuits 📚

Kassandra Alexis Zachos embarked on her academic journey at the University of Toronto, where she earned a Bachelor of Science degree in Nutritional Sciences and Fundamental Genetics. This foundational education provided her with a robust understanding of the intricate relationships between genetics, nutrition, and health. Motivated by her undergraduate studies, Kassandra pursued a Ph.D. in Pharmacology at the same institution, guided by Dr. Ana Andreazza. Her transition from genetics and nutritional sciences to pharmacology was driven by a keen interest in understanding the biochemical and physiological mechanisms underlying chronic diseases. This shift marked the beginning of her focused exploration into mitochondrial dysfunction and its implications for mood disorders and metabolic diseases.

Professional Endeavors 🏥

Kassandra’s professional career reflects a blend of academic rigor and practical application. During her time as a Ph.D. candidate, she has been deeply involved in cutting-edge research related to mitochondrial biomarkers and their role in mood disorders and metabolic diseases. Her work includes significant contributions to the development of novel therapeutics and dietary interventions aimed at improving patient outcomes. Beyond her academic research, Kassandra has also applied her expertise in a broader context, including her role as Vice President of Thomas & Co., an elevated leisure apparel company dedicated to sustainable fashion. This role underscores her commitment to making a positive impact both in and out of the academic sphere.

Contributions and Research Focus 🔬

Kassandra’s research is centered on the intersection of mitochondrial dysfunction, mood disorders, and metabolic diseases. She investigates how mitochondrial biomarkers can be used to enhance the understanding of chronic diseases and develop personalized therapeutic approaches. Her research has led to the completion of several significant projects, including the optimization of mitochondrial isolation techniques and the exploration of mitochondrial genetics in bipolar disorder. Her ongoing work aims to evaluate the role of dietary interventions in managing mitochondrial dysfunction and associated diseases. Through her innovative use of cell-based technologies and biomarker analysis, Kassandra is making strides in the field of nutritional psychiatry and personalized medicine.

Accolades and Recognition 🏆

Kassandra’s exceptional contributions to her field have been recognized through numerous awards and scholarships. Her achievements include the School of Graduate Studies Conference Grant (2023), the MITO2i Graduate Student Scholarship (2022), and multiple fellowships from the University of Toronto. These accolades not only reflect her academic excellence but also highlight her role as a leader in mitochondrial research. Her publications in prominent journals such as Psychiatry Research and Stem Cell Research & Therapy further underscore her impact on the scientific community.

Impact and Influence 🌍

Kassandra’s work has had a profound impact on the understanding of mitochondrial dysfunction and its relation to chronic diseases. By identifying and validating mitochondrial biomarkers, she is contributing to the development of more effective and personalized treatments for mood disorders and metabolic diseases. Her research on the implications of diet and mitochondrial function is paving the way for innovative approaches in nutritional psychiatry. Kassandra’s presentations at international conferences and her involvement in professional collaborations demonstrate her influence in advancing mitochondrial research and improving patient care.

Legacy and Future Contributions 🔮

Looking ahead, Kassandra’s future contributions promise to build on her current research focus. Her dedication to uncovering the mechanisms underlying mitochondrial dysfunction and developing personalized therapeutics will likely lead to further breakthroughs in the field. Her role as a leader in both academic and professional settings suggests that she will continue to shape the future of mitochondrial research and its applications in chronic disease management. Kassandra’s ongoing efforts in both her academic pursuits and professional endeavors are expected to leave a lasting legacy in the realms of pharmacology, nutrition, and sustainable fashion.

📚 Publications

Lactate in bipolar disorder: A systematic review and meta‐analysis

  • Author: Heidi Kuang, Angela Duong, Hyunjin Jeong, Kassandra Zachos, Ana C Andreazza
  • Source:  Psychiatry and clinical neurosciences
  • Year: 2018

Lactate in bipolar disorder: A systematic review and meta‐analysis

  • Author: Optimization of differential filtration-based mitochondrial isolation for mitochondrial transplant to cerebral organoids
  • Source: David F Bodenstein, Pavel Powlowski, Kassandra A Zachos, Dana El Soufi El Sabbagh, Hyunjin Jeong, Liliana Attisano, Landon Edgar, Douglas C Wallace, Ana Cristina Andreazza
  • Year: 2023

Lactate in bipolar disorder: A systematic review and meta-analysis

  • Author: H Kuang, A Duong, H Jeong, K Zachos, AC Andreazza
  • Source: BIPOLAR DISORDERS Cristina Andreazza
  • Year: 2019

Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

Ms. Kassandra Zachos | Transformational Leadership | Best Researcher Award

University of Toronto, Canada

🔗 Professional Profiles

📋 Summary:

Kassandra Alexis Zachos is a dedicated PhD candidate in her fifth year at the University of Toronto, under the guidance of Dr. Ana Andreazza. Her research focuses on the intricate relationship between mitochondria, mood disorders, and metabolic diseases, emphasizing the role of nutrition and diet quality. Kassandra aims to uncover alternative personalized therapeutics using mitochondrial biomarkers.

🎓 Education:

  • PhD Candidate in Pharmacology, University of Toronto
  • BSc in Genetics and Nutritional Sciences, University of Toronto

💼 Professional Experience:

Kassandra has substantial experience in cell-based technologies, the generation of novel therapeutics, and nutritional supplementation. She has completed four research projects and is currently involved in three ongoing studies.

🔬 Research Interests:

Kassandra’s primary research interest is the interplay between mitochondrial dysfunction and chronic diseases, particularly mood disorders and metabolic diseases. Her work includes:

  • Translational biomarkers in stem cell models and human plasma samples.
  • Mitochondrial-targeted metabolomics.
  • Personalized therapeutic development.
  • Nutritional psychiatry.

🔗 Contact:

🌟 Key Contributions:

Kassandra’s research highlights the importance of patient stratification based on mitochondrial metabolites and the development of personalized therapeutic approaches. Her innovative work bridges the gap between mitochondrial dysfunction, mood disorders, and metabolic diseases, contributing significantly to the field of nutritional psychiatry.

🤝 Collaborations & Memberships:

  • Collaborations: 4
  • Professional Memberships: 1

📚Notable Publications

  1. Zachos KA, et al. Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder. Psychiatry Research. 2024.
  2. Bodenstein DF, et al. Optimization of differential filtration-based mitochondrial isolation for mitochondrial transplant to cerebral organoids. Stem Cell Research & Therapy. 2023.
  3. Duong A, et al. Mitochondrial Genetics and Function in Affected Families with Bipolar Disorder and Mitochondrial Disease. Bipolar Disorders. 2019.
  4. Kuang H, et al. Lactate in Bipolar Disorder: A Systematic Review and Meta-Analysis. Psychiatry Clin Neuroscience. 2018.

Prof. Xing Huang Innovative Leadership | Best Researcher Award

Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China 

🔗 Professional Profiles

🎓 Education

  • Nov 2016 – Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA 🇺🇸
  • Sep 2013 – Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China 🇨🇳
  • Sep 2009 – Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China 🇨🇳

👨‍🔬 Employment

  • Dec 2022 – Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China 🇨🇳
  • Aug 2022 – Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 🇭🇰
  • Dec 2020 – Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Dec 2019 – Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Sep 2018 – Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan 🇹🇼

💡 Research Topics

  • 🧩 Electronic Design Automation
  • 🧬 Microfluidic Biochips and VLSI Circuits
  • 🤖 Artificial Intelligence and Machine Learning
  • 📊 Algorithm Design and Analysis
  • 🖥️ Computer-Aided Design

📞 Contact Information

Publication Top Noted

Paper Title : Hdr-nerf: High dynamic range neural radiance fields

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2022
    • Citations : 110

Paper Title : AIM 2020: Scene relighting and illumination estimation challenge

    • Authors: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M Parisa Beham, R Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, AN Rajagopalan, Densen Puthussery, PS Hrishikesh, Melvin Kuriakose, C Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng 
    • Journal: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16
       Year: 2020
    • Citations:  47

Paper Title : Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation

    • Authors: Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wan 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 
    • Year: 2024
    • Citations:  26

Paper Title : Local implicit ray function for generalizable radiance field representation

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang  
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2023
    • Citations: 21

Paper Title : SA-AE for any-to-any relighting

    • Authors: Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
    • Journal:
      European Conference on Computer Vision
    • Year: 2020
    • Citations: 8