Work with thought leaders and academic experts from TU Dresden

Dr. rer. nat. Rudrarup Bose is a highly qualified and an experienced scientist with a strong background in Synthetic Biology, Biochemistry, Biophysics, and High-Throughput Experimentation. He received his Ph.D. in Biology from TU Dresden (Germany) in 2024, where he specialized in designing and engineering novel biochemical systems for various applications. Prior to this, he completed his M.Sc. in Life Sciences from Homi Bhabha National Institute (India) in 2019. Dr. Bose has a diverse range of research experience, having worked in prestigious institutions such as the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany and the Cellular, Computational and Integrative Biology department at the University of Trento, Italy. He has also completed internships and short-term projects at ELVESYS in Paris, France, National Institute of Science Education and Research in Bhubaneswar, India, and Indian Insitute of Science Education and Research in Pune, India. During his doctoral research, Dr. Bose focused on developing novel methods for screening liquid-liquid phase separation in primitive metabolites and exploring their potential applications in the origin of life and synthetic biology. His work has been published in several peer-reviewed journals and has been presented at international conferences. Apart from his academic pursuits, Dr. Bose has also gained practical experience in the field of clinical microbiology as a Clinical Technician Assistant at Sankara Nethralaya Eye Hospital in Kolkata, India.Further, He has also worked as a Computational Chemist at the Earth-Life Science Institute, Tokyo Institute of Technology, where he developed computational models to study the origins of life on Earth. With his strong academic background and extensive research experience, Dr. Bose is a valuable asset to the scientific community. He is passionate about using his skills and knowledge to drive innovations in the field of life sciences and contribute to the advancement of scientific knowledge.

Passionate researcher holding a doctorate in biotechnology with 10+ years of laboratory research experience and 3 years of software industrial experience. My research work is mainly focused on developing rapid, label-free, and non-destructive technologies for the separation,  detection, and identification of antimicrobial-resistant (AMR) bacteria and cancer cells (biomarker and enzyme metabolism-based detection) using technologies such as microfluidics, qPCR, isothermal amplification, spectral flow cytometry, multi-color spectral flow cytometry, microscopy, elastic light scattering technologies, machine learning among others. My long-term goal is to develop innovative point-of-care technologies and improve diagnostic platforms for detecting pathogenic bacteria and cancer cells for diagnosis of bacterial infection and leukemia.

Applied research scientist with over 10 years of experience in developing real-world machine learning applications. Possess a strong working knowledge of state-of-the-art LLM, traditional NLP, and classical machine learning models. Proficient in Python programming and familiar with major ML/AI frameworks including scikit-learn, PyTorch, and H2O. Holds an MS in Statistics and a PhD in Engineering.