Author: Ishika Tawar

Ishika TawarRole: Biotechnology Researcher | Science Enthusiast | Science Communicator Education: Master's Degree in Biotechnology Research Experience: ACTREC — TG2 Protein-Ribosome Interaction Study (Cloning, Site-Directed Mutagenesis, Transformation, Gene Knockdown) | Ribosomal Heterogeneity Analysis Using R & Single-Cell RNA Sequencing Datasets | SafeWright Laboratory — Microbial Culturing, Biochemical Tests, Client-Based Research | Python-Based Analysis of Differential DNA Methylation in Breast Cancer Current Areas of Interest: Epigenetics | Genomics | Gene Therapy | Stem Cell Biology | Computational Biology | AI in Biological Research | Aging & Longevity Science Philosophy: Supports Transhumanism | Science & Technology as Tools to Overcome Biological Limitations | Evidence-Based Inquiry | Staying Curious About the Unknown Subject Expertise: Biotechnology, Molecular Biology, Epigenetics, Genomics, Aging & Longevity, Computational Biology, AI in Biology, Gene Therapy, Stem Cell Biology, and Science Communication.Short Bio Ishika Tawar is a biotechnology researcher and science enthusiast with a deep curiosity for understanding how life works at the molecular and cellular level. She holds a Master's degree in Biotechnology and has experience in both wet-lab and computational research. At ACTREC, she worked on a project studying the interaction of the TG2 protein with the ribosome, gaining hands-on experience in cloning, site-directed mutagenesis, transformation, and gene knockdown. She also studied ribosomal heterogeneity using R and publicly available single-cell RNA sequencing datasets from different cancers. As a Research Assistant at SafeWright, she worked on client-based projects involving microbial culturing, biochemical tests, literature research, and laboratory protocol development, and has also worked with Python-based analysis to study differential DNA methylation in breast cancer. Ishika supports transhumanism and believes that science and technology should be explored seriously as tools to overcome biological limitations. Her current areas of interest include epigenetics, genomics, gene therapy, stem cell biology, computational biology, and the use of AI in biological research — all framed by her overarching passion for understanding aging and extending healthy human lifespan. Extended Bio Ishika Tawar's journey into biotechnology began with a curiosity that started somewhere around school, wandered through a lot of unrelated corners of science and physics, and eventually settled on something she actually wants to spend her life on: aging and longevity. That path — meandering, questioning, never satisfied with easy answers — is exactly what makes her approach to science so distinctive.She holds a Master's degree in Biotechnology and has built research experience across both wet-lab and computational domains. At ACTREC (Advanced Centre for Treatment, Research and Education in Cancer), Ishika worked on a project studying the interaction of the TG2 protein with the ribosome. This work gave her hands-on experience in cloning, site-directed mutagenesis, transformation, and gene knockdown — the molecular toolkit that allows researchers to manipulate and understand biological systems at the most fundamental level. She was also involved in studying ribosomal heterogeneity using R and publicly available single-cell RNA sequencing datasets from different cancers, exploring how variations in the ribosome — the cell's protein-making machinery — might contribute to disease.As a Research Assistant at SafeWright Laboratory, Ishika expanded her skills into client-based research, working on projects involving microbial culturing, biochemical tests, and analysis. She also developed laboratory protocols, conducted literature research, and wrote research reports — work that taught her the importance of rigor, reproducibility, and clear communication in science.On the computational side, Ishika has worked with Python-based analysis to study differential DNA methylation in breast cancer — a project that connected her interest in epigenetics with the power of data-driven biology. This blend of wet-lab and computational experience reflects her belief that the future of biology lies at the intersection of experimental and analytical approaches.Ishika's current areas of interest are broad but connected: epigenetics, genomics, gene therapy, stem cell biology, computational biology, and the use of artificial intelligence in biological research. What ties them all together is her overarching passion for understanding aging and developing ways to extend healthy human lifespan. She supports transhumanism — the idea that science and technology should be explored seriously as tools to overcome some of the biological limitations of the human body. She has explored this interest through research projects and hackathons focused on AI, aging, and longevity.Outside the laboratory, Ishika is a passionate science communicator. She enjoys reading and talking about science and scientific ideas, and she hopes to make complex topics easier to understand without making them inaccurate or oversimplified. She loves travelling — especially to the mountains — and brings the same spirit of exploration to her science communication that she brings to her research. Primary BeatsAging & Longevity Science — The Biology of How We Age  Molecular Biology Techniques — From Wet Lab to Insights  Computational Biology & AI in Research — Data-Driven Discovery  Transhumanism & the Future of Human Biology