🔬 Being a biochemist with a fervent interest in computational and genomic data analysis as well as protein engineering, my research endeavors are dedicated to bridging the realms of molecular biology and computational methodologies. At present, I am exploring the transformative potential of self-supervised learning techniques in reshaping our comprehension and manipulation of biological systems.

📚 Currently, I am deeply immersed in the academic realm, pursuing my postdoctoral training at the National Institute on Aging (NIA/NIH). Here, my concentration revolves around deciphering the intricate molecular mechanisms underlying age-related changes in transcriptional regulation, with a special emphasis on immune cells.

Selected Experience

🧬 Computational Biology

My contributions to the field of computational biology is very little, but in future I want to explore transcriptional regulation within aging processes leveraging my expertise in biochemistry to delve into the complexities, particularly in immune cells.

📊 Research Reproductions

I have a proven track record of independently replicating and extending seminal research in computational biology. Through meticulous reimplementation and validation of key findings from prominent papers, I ensure the reliability and robustness of scientific results.

👩‍🔬 Professional Engagements

Currently, I am fully engaged in aging associated research as a Post Doc Researcher at NIA/NIH, collaborating closely with leading experts in the field to advance our understanding of age-related molecular dynamics.

🎓 Educational Initiatives

Driven by a deep-seated passion for knowledge dissemination, I actively contribute to educational initiatives across various platforms. Through my presence on YouTube, I strive to offer insightful content on computational biology, empowering both enthusiasts and professionals to delve deeper into this captivating field.