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M Barmada
Associate Professor of Human Genetics and Biomedical Informatics
Professional Background
M Barmada is a distinguished statistical and computational geneticist whose career has been dedicated to the intricate analysis of human traits with complex and multifactorial underpinnings. Boasting a wealth of experience, M has been engaged in various genetic mapping projects that encompass virtually every human organ system. His career trajectory has notably included influential roles that leverage cutting-edge advancements in sequencing and genotyping technologies. M is well-versed in data management and analysis methodologies particularly pertinent to large-scale genome-wide association studies (GWAS). His commitment to research and innovation in genetics has made him an indispensable primary analyst on campus, especially when it comes to the processing of next-generation sequencing data in its multiple forms. M is not only active in the research domain but is also collaborating across numerous institutions, showcasing his energetic and synergistic approach to scientific inquiry.
His primary research focus revolves around large-scale data's management and analysis, an area pivotal for advancing genetic research. M's adeptness in analyzing complex datasets has empowered teams to devise novel methods of high-dimensional analysis, contributing significantly to the evolution of data management systems capable of handling relational data at unprecedented scales. In addition to his research endeavors, M is deeply committed to education and mentorship. He prioritizes the training of students and postdoctoral fellows, believing that fostering future scientists is an integral aspect of his role. This commitment is reflected through his mentorship on multiple career development awards and his active participation as a member of the graduate faculty in his institution.
Education and Achievements
M Barmada's educational foundation is remarkable and reflects a strong commitment to his field of research. He earned his Ph.D. in Statistical and Computational Genetics from the prestigious University of Pittsburgh. This rigorous program equipped him with the foundational knowledge and analytical skills essential for his subsequent contributions to the field. Prior to his doctoral studies, M obtained his M.A. in Molecular Genetics from The Johns Hopkins University, a key institution renowned for its focus on advanced genetic research. Furthermore, M holds a B.S. in Chemistry and Biological Sciences from Carnegie Mellon University, which provided an extensive background in the critical biological sciences that underpin his work in genetics.
Achievements
M's professional journey has been marked by several noteworthy roles and contributions to the genetic research community. He currently serves as an Associate Professor of Human Genetics at the University of Pittsburgh, where he continues to advance his research and teaching initiatives. In previous roles, he has had significant influence as the Co-Director of Bioinformatics Resources at the Institute for Personalized Medicine at the University of Pittsburgh, where his expertise in bioinformatics played a crucial role in personalized healthcare initiatives. He also served as the Associate Director of the Center for Simulation and Modeling, leveraging his statistical expertise to contribute to complex modeling projects that advance healthcare research.
Moreover, M was previously the Associate Professor of Biomedical Informatics at the University of Pittsburgh School of Medicine, where he helped bridge the gap between genetic data interpretation and clinical applications. His leadership at the Center for Computational Genetics further solidifies his status as an authority in his field, guiding the next generation of researchers in genetics and bioinformatics. Throughout his career, M has maintained a keen focus on fostering collaboration and educational development, ensuring that his knowledge and experience will continue to benefit future scientists in the fast-evolving field of genetics.
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Clay is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Clay beneficial.
Clay offers competitive pricing in the personal CRM market. Clay offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Clay's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
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