Sijung Yun is a distinguished Adjunct Professor at Johns Hopkins University Advanced Academic Programs, where he imparts his extensive knowledge in Bioinformatics and Genomics to the next generation of scientists. With a robust background as the Co-founder and President of Predictiv Care, Inc., Sijung leverages...
Sijung Yun is a distinguished Adjunct Professor at Johns Hopkins University Advanced Academic Programs, where he imparts his extensive knowledge in Bioinformatics and Genomics to the next generation of scientists. With a robust background as the Co-founder and President of Predictiv Care, Inc., Sijung leverages his expertise in next-generation sequencing (NGS), artificial intelligence, and deep learning to drive innovation in the field of computational structural biology. His academic and professional pursuits are deeply intertwined, as he explores the intricate relationships between genomic data and biological processes, utilizing advanced techniques such as DNA-seq, RNA-seq, ChIP-seq, and single-cell analysis.
At Johns Hopkins, Sijung is not only a mentor but also an active contributor to key projects that bridge the gap between theoretical knowledge and practical application. His role involves developing curricula that incorporate cutting-edge methodologies in bioinformatics, ensuring that students are well-versed in the latest tools and technologies. His proficiency in computational biology, particularly in molecular dynamics and docking, allows him to guide students through complex problem-solving scenarios, fostering a deep understanding of protein chemistry and molecular modeling.
As an inventor of NGSinForm, an automated application for NGS analysis, Sijung exemplifies the integration of technology and biology, enhancing the efficiency of genomic data interpretation. His skills in programming languages such as Perl and Java, combined with his expertise in algorithms and mathematical modeling, empower students to tackle real-world challenges in proteomics and molecular biology. Through his teaching and innovative projects, Sijung Yun continues to shape the future of bioinformatics, inspiring a new wave of researchers to explore the vast potential of genomics in understanding and treating diseases.
