Tamar Schlick | Mathematics | Best Researcher Award

Prof. Tamar Schlick | Mathematics | Best Researcher Award

Professor at New York University, New York

Tamar Schlick is a distinguished professor at New York University, affiliated with both the Department of Chemistry and the Courant Institute of Mathematical Sciences. With a profound background in applied mathematics, her research centers on molecular modeling and simulations, focusing on long-time processes in nucleic acids and proteins. Her interdisciplinary approach bridges the gap between microscopic structures and macroscopic functional observations, contributing significantly to the fields of biochemistry and computational biology.

Profile

Scholar Profile

Education 🎓

Dr. Schlick earned her Ph.D. in Applied Mathematics from the Courant Institute at NYU in 1987, with a thesis on modeling and minimization techniques for predicting the three-dimensional structures of large biological molecules. She also holds an M.S. in Applied Mathematics (1984) and a B.S. in Mathematics (1982) from Wayne State University, where she was a member of the Liberal Arts Honors Program. Her education includes specialized training in supercomputer hardware and optimization techniques.

Experience 💼

Dr. Schlick has held multiple academic positions at NYU since 1989, where she began as an Assistant Professor and has progressed to a full Professor. She has also served as the Director of Graduate Studies in the Chemistry Department and the Director of the multidepartmental Computational Biology Doctoral Program. Her prior experience includes a postdoctoral fellowship at the Courant Institute, where she focused on potential energy calculations of nucleic acids, as well as research at the Weizmann Institute of Science in Israel.

Research Interests 🔬

Dr. Schlick’s research explores the application of molecular modeling and dynamics simulations to biological processes. Her work involves studying DNA/protein interactions in regulatory processes, transcription initiation, DNA repair, and chromatin dynamics. Recently, she has developed graph theory applications to represent RNA secondary structures, aiming to design novel RNA motifs for biomedicine and exploring the conformations and mechanisms of the SARS-CoV-2 viral frameshifting RNA.

Awards 🏆

Throughout her career, Dr. Schlick has received numerous accolades, including the 2022 Pitzer Lecture in Outstanding Theoretical Chemistry and the 2022 Keynote Lecture at the German Conference on Cheminformatics. Her contributions have been recognized with multiple fellowships from prestigious organizations, such as the Society for Industrial and Applied Mathematics and the American Physical Society. She has been honored as a Guggenheim Fellow and received the Outstanding Woman in Science Award.

Publications 📚

Dr. Schlick has authored numerous influential publications. Some of her notable works include:

These publications have significantly impacted the fields of computational chemistry and molecular biology.

Conclusion 📝

Dr. Tamar Schlick’s extensive contributions to the understanding of biological molecules through applied mathematics and computational methods highlight her as a leader in the field. Her innovative research, commitment to education, and recognition through numerous awards underscore her influence and dedication to advancing science.

JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

Dr. JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

Profesor-Investigador, Universidad Anahuac México, Mexico

José Daniel López Barrientos is a distinguished researcher and educator in the fields of Basic Mathematics, Stochastic Control, and Game Theory. Currently, he is a part-time researcher at the Bachelor’s Programme in Actuarial Sciences at the Benemérita Universidad Autónoma de Puebla and a full-time researcher and teacher at the Universidad Anáhuac México. With a career marked by notable academic and research achievements, López Barrientos has significantly contributed to the fields of probability and risk theory.

Profile

Orcid

Research for “Best Researcher Award”

Strengths for the Award

José Daniel López Barrientos stands out as a prominent figure in the fields of Stochastic Control, Game Theory, and Probability and Risk Theory. His significant contributions to mathematical research and actuarial sciences are evidenced by his extensive academic and professional accomplishments:

Educational Background: López Barrientos holds a PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, which underscores his solid foundation in advanced mathematical concepts.

Research Excellence: His publications in high-impact journals such as Results in Control and Optimization and Cybernetics and Systems demonstrate his deep expertise and innovative approach in stochastic processes and game theory. Noteworthy recent works include studies on variance optimality in stochastic differential games and robust statistical estimation.

Professional Experience: With a rich background as a researcher and educator, he has held positions at renowned institutions including Universidad Anáhuac México and Saint Petersburg State University. His roles span from part-time teaching to research coordination and academic leadership, reflecting his versatility and commitment to advancing the field.

Grants and Honors: López Barrientos has received notable recognition such as membership in the Mexican Academy of Sciences and a distinguished award from the Consejo Mexiquense de Ciencia y Tecnología. These accolades are a testament to his influence and contributions to actuarial science and mathematics.

Areas for Improvement

While López Barrientos’ achievements are impressive, there are areas where further growth could enhance his already distinguished profile:

Broader Interdisciplinary Collaboration: Engaging in interdisciplinary research could open new avenues for innovation, integrating his expertise in stochastic control and game theory with emerging fields such as data science or artificial intelligence.

Increased Public Engagement: Greater involvement in public outreach and science communication could amplify the impact of his research. By translating complex mathematical concepts into accessible formats, he could broaden his influence beyond academic circles.

Expanded Research Funding: Securing additional research grants from international bodies could support more extensive projects and collaborative efforts, further advancing his research agenda and fostering new discoveries.

Education 🎓

José Daniel López Barrientos earned his PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional in 2012. He also holds a Master of Sciences in Mathematics from the same institution, completed in 2006, and a Bachelor’s degree in Actuarial Sciences from Universidad Anáhuac México, achieved in 2003. Additionally, he passed the Society of Actuaries’ exam on “Mathematical Foundations of Actuarial Science” in 2002.

Experience 💼

López Barrientos has a rich professional background that includes roles as:

  • Academic Coordinator of the Masters in Risks at Universidad Anáhuac México (2022).
  • Post-doctoral Fellow at Saint Petersburg State University (2017-2018) and Université de Montréal (2015-2016).
  • Full-time Teacher and Researcher at Universidad La Salle (2011-2014) and Chair of the Actuarial Sciences undergraduate program.
  • Part-time Teacher at various institutions including Universidad Nacional Autónoma de México and Universidad Autónoma del Estado de México.
  • Software Developer at Bufete Matemático Actuarial (2002-2004).

Research Interest 🔍

José Daniel López Barrientos focuses on Basic Mathematics, Stochastic Control and Game Theory, and Probability and Risk Theory. His research explores complex mathematical models and their applications, particularly in stochastic processes and optimal control problems.

Awards 🏆

  • 2024: Member of the Mexican Academy of Sciences.
  • 2023: Second place in the “Fundadores” prize by the Asociación Mexicana de Actuarios.
  • 2023: Distinguished by the Consejo Mexiquense de Ciencia y Tecnología for his paper on robust statistical estimation.

Publications Top Notes📚

López-Barrientos, José Daniel; Plata Gallegos, Humberto (2024). Una nueva aproximación a la constitución de una reserva actuarial de arriba p’abajo Actuarios Trabajando, 15: 1-24.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

López-Barrientos, José Daniel (2023). Constrained Stochastic Differential Games with Markovian Switchings and Additive Structure: The Total Expected Payoff Results in Control and Optimization, DOI: 10.1016/j.rico.2023.100288.

López-Barrientos, José Daniel (2023). On the Discrete-Time Minimum Principle in Multiple-Mode Systems Cybernetics and Systems, DOI: 10.1080/01969722.2023.2175492.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

Conclusion

José Daniel López Barrientos is a highly qualified candidate for the “Best Researcher Award,” distinguished by his groundbreaking research, extensive academic experience, and notable honors. His contributions to stochastic control, game theory, and risk theory have significantly impacted the field, demonstrating a commitment to excellence in both research and education. Addressing areas for further growth, such as interdisciplinary collaboration and public engagement, could enhance his already impressive career and broaden his influence.