Hiranmoy Das | Biology and Life Sciences | Lifetime achievement Award

Hiranmoy Das | Biology and Life Sciences | Lifetime achievement Award

Prof Hiranmoy Das, Texas Tech University Health Sciences Center, United States

Prof. Hiranmoy Das, MSc, PhD, FAHA, is a renowned biochemist and pharmacologist with a distinguished career. He holds a Ph.D. from the University of Calcutta and has postdoctoral training from prestigious institutions like Harvard Medical School and the Hyogo Institute of Clinical Research. Currently a Professor at Texas Tech University, his research focuses on cardiovascular stem cell therapies, regenerative medicine, and immunology. He has received numerous awards, including induction into the National Academy of Inventors and the American Heart Association. Prof. Das has authored several publications and holds multiple patents. 🌟📚💉🔬🧬

Publication Profile

Google Scholar

Education

Prof. Hiranmoy Das holds a Ph.D. in Biochemistry from the University of Calcutta (1995) and has extensive academic training in zoology, advanced cytogenetics, immunology, and biology. He completed postdoctoral fellowships at prestigious institutions, including Harvard Medical School (1999-2002) and Hyogo Institute of Clinical Research, Japan (1996-1999). Prof. Das has held prominent roles, such as Professor at Texas Tech University (2016-present) and Associate Professor at The Ohio State University (2008-2016). He also directed cardiovascular stem cell research laboratories. His remarkable career spans over decades, focusing on innovative research in the fields of biochemistry and immunology. 📚💉🔬

Honors and Awards

Prof. Hiranmoy Das, a distinguished researcher and educator, has received numerous accolades for his groundbreaking contributions. In 2024, he was elected as a Fellow of the National Academy of Inventors. He was inducted into the prestigious Sigma Xi in 2023 and awarded the President’s Excellence in Research Award in 2022. As a tenured professor at Texas Tech University, he earned the Chancellor’s Council Distinguished Research Award in 2021. His honors also include the American Heart Association Fellowship (2021) and a Keynote Speaker role at an International Conference in 2018. Earlier awards include the NIH K01 Award and National Merit Scholarship. 🏆🔬🎓

Experiences

Prof. Hiranmoy Das has taught a variety of undergraduate, graduate, and professional courses at TTUHSC, including leadership roles in Pharmaceutical Sciences Research (G) in Spring, Summer, and Fall sessions from 2021 to 2024 📚. He led courses like Clinical Correlation-6 and Integrated Therapy and Practice VII, as well as Experimental Design and Biostatistics 🧪. Prof. Das has mentored students in clinical and research settings, contributing significantly to pharmaceutical education 💡. His commitment to fostering academic growth is reflected in his continued leadership in research-focused courses, impacting future professionals in the field of pharmaceutical sciences 🎓.

PhD Thesis

Prof. Hiranmoy Das appears to be heavily involved in mentoring and advising graduate students, particularly in the fields related to pharmacy, veterinary medicine, and health sciences. His research likely focuses on advanced pharmaceutical sciences, drug development, and therapeutics. With his role in advising students pursuing PhD and MS theses, his research could be centered around pharmaceutical applications, medicinal chemistry, or pharmacology. Given his involvement in both veterinary and pharmacy programs, his research may also bridge the gap between human and veterinary health, focusing on biomedical sciences, drug formulations, and therapeutics for both sectors. 📚💊🐾👩‍🔬👨‍🔬

Research Focus

Hiranmoy Das focuses on molecular and cellular biology, particularly related to vascular biology, immunology, and inflammation. His research delves into the roles of Kruppel-like factor 2 (KLF2) in endothelial cells, immune responses, and its regulatory functions in cardiovascular health. He also investigates autophagy, cell death, and ischemic stroke therapies, emphasizing the use of assays for monitoring these processes. His work highlights the role of phytochemicals in cancer prevention and the immune system’s effector functions. Das has made significant contributions to understanding cellular signaling and disease mechanisms, with implications for therapeutic development. 🔬💉🧬🫀

Publication Profile

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes

Guidelines for the use and interpretation of assays for monitoring cell death in higher eukaryotes

Current advances in ischemic stroke research and therapies

MICA engagement by human Vγ2Vδ2 T cells enhances their antigen-dependent effector function

Kruppel-like factor 2 as a novel mediator of statin effects in endothelial cells

Kruppel-like factor 2 (KLF2) regulates proinflammatory activation of monocytes

CD1-mediated γ/δ T cell maturation of dendritic cells

 

 

Álvaro Torres-Martos | Biology and Life Sciences | Best Researcher Award

Álvaro Torres-Martos | Biology and Life Sciences | Best Researcher Award

Mr Álvaro Torres-Martos, University of Granada, Spain

Based on the impressive research experience and academic achievements of Mr. Álvaro Torres-Martos, he appears to be a strong candidate for the Best Researcher Award.

Publication profile

google scholar

Research Experience

Mr. Torres-Martos has been deeply involved in cutting-edge research projects. His work as a Bioinformatic Researcher on the ACTIBATE project, focused on exploring therapeutic targets through exercise and brown adipose tissue activation, demonstrates his expertise in bioinformatics. His role as a Pre-doctoral Researcher on the EXOMAIR project, which aims to use explicable artificial intelligence for precision medicine, further highlights his research excellence and potential impact in the field of metabolic health.

Academic Background

With a Bachelor’s degree in Biochemistry and a Master’s in Bioinformatics and Biostatistics, Mr. Torres-Martos has a solid foundation in the sciences, further strengthened by his ongoing pre-doctoral studies and faculty position in Biochemistry and Molecular Biology at the University of Granada. His academic progression reflects a commitment to interdisciplinary research, particularly in bioinformatics and precision medicine.

Research Publications

Mr. Torres-Martos has contributed to high-impact journals, with publications that showcase his expertise in multi-omics, machine learning, and their applications in childhood obesity and insulin resistance. His research has been recognized in well-regarded journals like Artificial Intelligence in Medicine and Translational Psychiatry, with his work cited by other scholars, indicating the relevance and influence of his studies in the scientific community.

Other Achievements

Mr. Torres-Martos’s achievements extend beyond publications. His victory in the III Bioinformatics Datathon and the development of the ObMetrics app highlight his practical contributions to the field. Additionally, his active participation in national and international conferences and completion of specialized courses in data science and bioinformatics demonstrate his dedication to continuous learning and knowledge dissemination.

Conclusion

In conclusion, Mr. Álvaro Torres-Martos has established himself as a highly skilled researcher with a significant impact on the fields of bioinformatics, precision medicine, and metabolic health. His academic background, research experience, and substantial contributions to high-impact journals make him a deserving candidate for the Best Researcher Award. His ongoing commitment to advancing knowledge in bioinformatics and his innovative approaches to addressing complex health issues position him as a leading researcher with a promising future.

Publication top notes

Impact of physical activity and exercise on the epigenome in skeletal muscle and effects on systemic metabolism

Omics data preprocessing for machine learning: A case study in childhood obesity

Body mass index interacts with a genetic-risk score for depression increasing the risk of the disease in high-susceptibility individuals

Human multi-omics data pre-processing for predictive purposes using machine learning: a case study in childhood obesity

Integrative analysis of blood cells DNA methylation, transcriptomics and genomics identifies novel epigenetic regulatory mechanisms of insulin resistance during puberty in …

Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study

Leveraging Machine Learning and Genetic Risk Scores for the Prediction of Metabolic Syndrome in Children with Obesity

An Unhealthy Dietary Pattern-Related Metabolic Signature Is Associated with Cardiometabolic and Mortality Outcomes: A Prospective Analysis of the UK Biobank Cohort

Big Data and Machine Learning as Tools for the Biomedical Field

Epigenetic Alterations in the Estrogen Receptor Accompany the Development of Obesity-Associated Insulin Resistance during Sexual Maturation