Dr. Tam Dinh | Cross-Cultural Leadership | Best Researcher Award

Dr. Tam Dinh | Cross-Cultural Leadership | Best Researcher Award

University of New Mexico Health Sciences Center, United States

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🎓 Early Academic Pursuits

Dr. Tam Dinh’s academic trajectory is marked by a strong foundation in science and an early dedication to medicine. He began his undergraduate studies at the University of California, Los Angeles, where he earned a Bachelor’s degree in Biochemistry in June 2017. This rigorous academic training laid the biochemical and analytical groundwork essential for his later clinical and research success. Driven by a desire to transition into medicine, he pursued a Post-Baccalaureate Premedical Certificate at the Keck Graduate Institute in California. This experience not only prepared him for medical school admission but also exposed him to the integration of science and industry, particularly during his team project collaboration with Eli Lilly.

His acceptance into the Frank H. Netter MD School of Medicine at Quinnipiac University marked a significant milestone. There, he distinguished himself both academically and through his involvement in scientific research. He graduated in May 2023 with a Doctor of Medicine, recognized with High Distinction in Basic, Translational, and Clinical Science, highlighting his deep commitment to evidence-based medicine and research innovation.

🩺 Professional Endeavors

Dr. Dinh’s clinical training reached a new height when he began his residency in Internal Medicine at the University of New Mexico in June 2023. Immersed in a diverse and underserved patient population in Albuquerque, he has not only deepened his clinical skills but also demonstrated leadership through mentorship and curriculum development. Notably, he is part of a team designing a new night float rotation curriculum, an initiative aimed at improving resident education and patient care during off-hours. He also took on a teaching role as a facilitator in the Internal Medicine Bootcamp’s Mock Paging Program, helping prepare fourth-year medical students for real-life clinical scenarios.

Through these experiences, Dr. Dinh has clearly embraced the dual roles of clinician and educator. His participation in the “Residents as Educators” seminar further emphasizes his intention to remain deeply engaged in teaching throughout his career.

🔬 Contributions and Research Focus

Dr. Dinh’s research portfolio is both diverse and clinically significant. From his early exploration of regulatory intelligence with Eli Lilly to his recent publications on rare diseases and autoimmune disorders, his work spans bench science, epidemiology, and quality improvement. His capstone research focused on the E3 ubiquitin ligase RNF31, where he explored cellular pathways using advanced molecular biology techniques. This project culminated in several poster presentations, including at the American College of Physicians (ACP) Annual Meeting.

Currently, his focus has shifted to autoimmune conditions affecting minority populations, including Statin-Associated Immune-Mediated Necrotizing Myopathy among Hispanic and Native American patients. This project, in collaboration with Dr. Wilmer Sibbitt Jr., is particularly impactful due to its attention to health disparities in underserved communities. Another ongoing quality improvement study with the New Mexico Veteran Affairs Health Care System aims to increase compliance with laboratory monitoring in patients on immunosuppressive therapy—an area of growing importance in managing chronic disease.

🏅 Accolades and Recognition

Throughout his career, Dr. Dinh has been recognized for both his academic excellence and scientific contributions. His publication in Therapeutic Innovation & Regulatory Science underscores his early commitment to improving healthcare delivery through innovation. At multiple stages of his training, he has presented research at high-level academic forums, such as the ACP and Society of Hospital Medicine meetings. His research abstracts have advanced in competitive settings, including the ACP Connecticut Chapter Scientific Meeting, attesting to the quality and relevance of his work.

Additionally, his leadership roles in student government, interest groups, and mentorship programs at Frank H. Netter School of Medicine reveal a consistent pattern of engagement and trust from his peers and faculty.

🌍 Impact and Influence

What sets Dr. Dinh apart is his unwavering focus on education, mentorship, and healthcare equity. As a peer support coach, a mentor in Internal Medicine, and an advocate for mental health among medical students, he has cultivated a culture of support and learning. His ability to balance clinical duties with academic and leadership responsibilities is a testament to his time management, emotional intelligence, and vision.

His clinical case presentations—ranging from Staphylococcus aureus bacteremia to rare congenital disorders—highlight his diagnostic acuity and commitment to lifelong learning. These contributions enhance the medical community’s understanding of complex pathologies and foster a culture of collaborative learning.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Tam Dinh is poised to make lasting contributions to internal medicine, particularly in the realms of academic medicine, quality improvement, and health equity. His work in developing educational curricula, mentoring residents, and researching population-specific autoimmune diseases positions him as a future leader in academic internal medicine. His ability to straddle clinical care, teaching, and research so effectively ensures he will have a multifaceted impact.

With a growing body of peer-reviewed publications, increasing leadership in education reform, and continued commitment to underserved communities, Dr. Dinh’s trajectory suggests a future as a physician-scientist who not only treats illness but also transforms systems of care.

📝Notable Publications

Statin-associated immune-mediated necrotizing myopathy in Hispanic Americans

Author(s): Tam N. Dinh, Sharon E. Nunez, Kristin M. Gonzales, Krystle L. Tapia, Eric B. Garcia, Roderick A. Fields, Maheswari Muruganandam, N. Suzanne Emil, Frank X. O’Sullivan, Wilmer Sibbitt
Journal: Seminars in Arthritis and Rheumatism
Year: 2025

 Improving Compliance Rate of Monitoring Laboratory among Patients on Disease-Modifying Anti-Rheumatic Drugs at the New Mexico Veteran Affairs Health Care System

Author(s): Tam Dinh, Vijayalakshmi Kumar, Sharon Nunez, Micah Guess, Kimberly Reiter
Journal: Quality Improvement Poster Competition at University of New Mexico Hospital
Year: 2025

A Case Report on a Rare Disease: Phosphoglucomutase 3-Congenital Disorder of Glycosylation

Author(s): Tam Dinh, Osman Dokmeci
Journal: American College of Physicians New Mexico Chapter Meeting
Year: 2024

 Sepsis or no Sepsis, a Case of Staphylococcus aureus Bacteriuria and Bacteremia

Author(s): Tam Dinh, Riana Wurzburger
Journal: Society of Hospital Medicine New Mexico Chapter Meeting
Year: 2024

West Nile Virus Infection Complicated by Myocardial Infarction and Guillain-Barre Syndrome

Author(s): Tam Dinh, Daniel Mai, Pooja Viswanath, Ashley Keiler-Green
Journal: American College of Physicians New Mexico Chapter Meeting
Year: 2023

Assoc Prof Dr. Ao Kong | Conflict Management and Resolution | Best Researcher Award

Assoc Prof Dr. Ao Kong | Conflict Management and Resolution | Best Researcher Award

Nanjing University of Finance and Economics, China

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Early Academic Pursuits 🎓

Ao Kong’s academic journey is a shining example of unwavering dedication to the pursuit of knowledge. He began his higher education at the prestigious Nanjing University in China, where he earned his Bachelor of Science in Mathematics in June 2006. Building on his strong foundational knowledge, he continued at Nanjing University to achieve a Master’s degree in Mathematics in 2008. Kong’s early fascination with mathematical structures and quantitative reasoning propelled him to set his sights abroad for further studies. His pursuit of academic excellence led him to the University of Houston in Texas, United States, where he earned his Ph.D. in Mathematics in December 2013. During his doctoral studies, Kong honed his analytical skills, focusing on the rigorous quantitative methods that would later define his research in finance and data-driven economic modeling.

Professional Endeavors 💼

Ao Kong’s professional career is a tapestry of experience blending both academic and industry insights. His career commenced at KPMG Huazhen in Shanghai, where he worked as an Auditor from September 2008 to May 2010. This initial experience in a top-tier accounting and consulting firm provided him firsthand exposure to real-world financial operations and regulatory environments, sharpening his practical understanding of corporate finance and risk management.

In July 2014, Kong transitioned into academia, joining the School of Finance at Nanjing University of Finance and Economics (NUFE) as an Assistant Professor. Over a decade of dedicated teaching and research culminated in his promotion to Associate Professor in January 2025. Meanwhile, from January 2021 to December 2022, he further broadened his scholarly horizons as a Postdoctoral Fellow at the School of Management and Engineering, Nanjing University. This period of advanced research deepened his engagement with big data analytics and market microstructure studies, bridging mathematical theory with economic applications.

Contributions and Research Focus 🔬

Ao Kong’s research elegantly bridges mathematical theory, market microstructure, big data analytics, and asset pricing. His work addresses critical issues such as liquidity provision, trading behaviors, and the identification of patterns in financial markets. His recent publications reflect the depth and breadth of his contributions.

In particular, his studies explore the nuanced role of market makers in hybrid markets and analyze liquidity provision in the Chinese stock market using game-theoretic frameworks. One notable work, accepted by the Pacific-Basin Finance Journal, investigates how market makers operate in hybrid systems where elements of both order-driven and quote-driven markets coexist. Another influential piece, published in the Journal of Management Science, co-authored with colleagues, uses sophisticated modeling to decode individual investors’ behavior and private information in the context of stock price fluctuations.

His research published in Computational Economics demonstrates his innovative approach by applying mutual information measures to multivariate time series data — a pioneering effort to detect microtrading patterns that precede abrupt price movements. This work reflects not only his mastery of complex mathematical tools but also his commitment to making meaningful contributions to financial market understanding.

Accolades and Recognition 🏆

While specific awards or honors are not explicitly listed, Ao Kong’s trajectory itself speaks volumes about his recognition within academic and professional circles. His appointment as an Associate Professor at NUFE and his successful postdoctoral tenure at Nanjing University, both highly respected institutions, are strong indicators of his peers’ esteem. Furthermore, the acceptance of his papers in reputable journals like the Pacific-Basin Finance Journal and Computational Economics is an academic accolade in itself, reflecting the scholarly community’s recognition of the relevance and rigor of his research.

Impact and Influence 🌍

Ao Kong’s work significantly influences the fields of financial econometrics and market microstructure research, especially within the context of Chinese capital markets. His analyses provide regulators, market participants, and fellow researchers with valuable insights into the behavior of liquidity providers and the mechanics behind stock price movements. Through his teaching, he imparts advanced financial modeling techniques and quantitative finance methodologies to the next generation of economists and financial engineers. Courses such as Financial Econometrics, Quantitative Finance, Corporate Finance, and Financial Risk Management are enriched by his real-world insights and research findings, fostering a stronger, more analytically capable cohort of students.

Legacy and Future Contributions 🔮

Looking forward, Ao Kong’s legacy appears firmly tied to the continued evolution of financial technologies and big data applications in market analysis. As financial markets become more data-driven and interconnected, the methodologies he champions — such as pattern recognition in trading behavior and quantitative analysis of liquidity dynamics — will become even more critical.

Given his strong background in both theoretical mathematics and practical finance, Kong is poised to be a leading voice in developing next-generation financial market models that incorporate AI, machine learning, and complex systems analysis. His commitment to bridging theory with practice ensures that his future contributions will remain both academically significant and practically impactful, further strengthening his role as a pioneer in the intersection of mathematics, finance, and data science.

Notable publications 

Predicting apparent singlet oxygen quantum yields of dissolved black carbon and humic substances using spectroscopic indices

Authors: Z. Du, Y. He, J. Fan, H. Fu, S. Zheng, Z. Xu, X. Qu, A. Kong, D. Zhu
Journal: Chemosphere
Year: 2018

Predicting intraday jumps in stock prices using liquidity measures and technical indicators

Authors: A. Kong, H. Zhu, R. Azencott
Journal: Journal of Forecasting
Year: 2021

 Predicting trend of high frequency CSI 300 index using adaptive input selection and machine learning techniques

Authors: A. Kong, H. Zhu
Journal: Journal of Systems Science and Information
Year: 2018

 Biomarker signature discovery from mass spectrometry data

Authors: A. Kong, C. Gupta, M. Ferrari, M. Agostini, C. Bedin, A. Bouamrani, E. Tasciotti, …
Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2014

 Does idiosyncratic volatility matter?—Evidence from Chinese stock market

Authors: S. Liu, A. Kong, R. Gu, W. Guo
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2019