Members
Principal Investigator
Deblina Sarkar
Assistant Professor at MIT
AT&T Career Development Chair Professor at MIT Media Arts and Sciences
Founder and Director of Nano-Cybernetic Biotrek research lab
Prof. Deblina Sarkar is a trans-disciplinary innovator, initially trained in electrical engineering and physics and then, has traversed the realm of biology, driven by curiosity and belief that truly disruptive technologies can immerge at the interface of diverse research arenas. Her inventions include, among others, a 6-atom thick channel quantum-mechanical transistor overcoming fundamental power limitations, an ultra-sensitive label-free biosensor and technology for nanoscale deciphering of biological building blocks of brain. Her PhD dissertation was honored as one of the top 3 dissertations throughout USA and Canada in the field of Mathematics, Physical sciences and all departments of Engineering. She is the recipient of numerous other awards and recognitions, including the Lancaster Award, Technology Review’s one of the Top 10 Innovators Under 35 from India, NIH K99/R00 Pathway to Independence Award, IEEE Early Career Award in Nanotechnology (only awardee worldwide in 2022), Innovative Early Career Engineer by National Academy of Engineering, the NIH Director’s New Innovator Award with the highest and rarely achieved impact score, the MIND Prize, the Science News' 10 Scientists to Watch, the Distinguished Scientist Award (one of the 3 awardees nationwide), the Nanomaterials Young Investigator Award (one of the 3 awardees worldwide) and many more Continue Reading....
Administrative Assistant
Post Docs
Monochura Saha
Postdoctoral Associate, MIT Media Lab
Monochura Saha is a Postdoctoral Associate in the Nano-Cybernetic Biotreck group at MIT Media Lab. He completed his Bachelor's degree (B.Sc, Honors) in Chemistry at Rahara Ramakrishna Mission Vivekananda Centenary College, India. After graduating, he qualified for JAM and was admitted to the Indian Institute of Technology, (IIT-Madras) for his Master’s degree (M.Sc). During his Master’s work, he worked in the field of Synthetic Organic Chemistry to develop glucose based drug molecules under the guidance of Prof. Indrapal Singh Aidhen. After graduating, he qualified UGC-NET, GATE, and received a prestigious Inspire Doctoral Fellowship, and joined as a Ph.D. scholar at the Indian Institute of Science Education and Research (IISER-Kolkata, India). For his Ph.D. he worked in interdisciplinary chemistry for his thesis titled “Dynamic Molecular Catalysts Based on Molecular Photoswitches”. He obtained his Ph.D. in December 2020 under the supervision of Prof. Subhajit Bandyopadhyay. After completing his Ph.D. he worked as a Project Assistant in the same group and worked on Photoregulated Drug molecules for antibacterial and anticancer activity.
Ray Lee
Postdoctoral Associate, MIT Media Lab
Ray is a neuroscientist working with Prof. Deblina Sarkar on developing neuroscience and translational research using nano-devices. Before joining the NCB group, Ray was a postdoctoral fellow in the department of brain and cognitive sciences at MIT, piloting research projects on thalamocortical substrate of inference and stress controllability with Prof. Michael Halassa. Before MIT, Ray completed Ph.D. studies with Prof. Bernd Kuhn and Prof. Greg Stephens at Okinawa Institute of Science and Technology, studying neuronal population dynamics that yield spontaneous behaviors and socially induced stress development in mice. Before then, Ray did B.S. and M.S. with Prof. Chen-Tung Yen at National Taiwan University, studying adjustments of cerebellar sensory responses to active and passive motions in rats and the related neuronal projecting organizations. In the meanwhile, Ray examined neurotransmitter modulations in the dorsal raphé nucleus for controlling mouse aggressive behaviors, with Prof. Tsuyoshi Koide and Dr. Aki Takahashi in National Institute of Genetics. Ray is broadly interested in science, philosophy, arts, and traveling. Ray’s ultimate goal is to approach neural theories that explain behaviors and phenomenology of a conscious agent.
Ishaq N. Khan
Postdoctoral Associate, MIT Media Lab
Khan is a cancer biologist working with Prof. Deblina Sarkar on developing novel therapeutic strategies for tumors which are resistant to standard treatments. Prior joining NCB, he worked as a postdoctoral research associate at Texas A&M Health Science Center, on developing novel small molecule kinase inhibitors for breast cancer brain metastasis with Prof. Alyismail from Irma Lerma School of Pharmacy. Before joining Texas A&M University, Khan worked as an Assistant professor at Khyber Medical University, where he established the only national brain tumors biobank from 350+ patients, with comprehensive clinical data including radiological scans, histopathological reports, biochemical, and hematological profiles. As PI of the Precision Oncomedicine Lab (C3POL), Khan retrieved cancer tissues, blood, DNA, RNA, and generated primary cell cultures from wide range of adult and pediatric brain tumors’ patients including meningiomas, medulloblastomas, pituitary tumors, schwannomas, ependymoma, glioblastomas and other astrocytic tumors. In addition, he has also initiated primary cell lines from breast cancer and oral-squamous cell carcinoma patients. Khan was awarded doctorate fellowship by King Abdulaziz University, where his research was focused on the molecular analysis of pathogenesis, pleomorphism, drug resistant, cancer stem cells, and unique genetic signatures of meningiomas, which resulted in discovery of AGR2 as a novel marker for aggressive brain tumors. Khan completed his Master research degree from University of Sunderland and his bachelor’s degree from University of Peshawar.
Mohammad Tariqul Islam
Postdoctoral Associate, MIT Media Lab
Mohammad Tariqul Islam is an MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellow whose research is focused on employing AI to develop next-generation biomedical applications, including nanotechnologies. Specifically, Tariq specializes in unsupervised machine learning (ML), a field that looks for patterns in unlabeled data. In his doctoral research, he developed a new approach for analyzing chest x-rays that successfully distinguishes COVID-19 patients from healthy patients and differentiates between two distinct types of COVID response. Additionally, he developed unsupervised methods for curating large radiological datasets. His current work aims to develop innovative algorithms tailored specifically for nano-electronic and bio-hybrid systems. To accomplish this, he is developing algorithms to identify related groups within data, with a particular focus on neighbor relation and topology preserving approach. Tariq’s work holds exciting potential to bridge the field of AI with next-generation nanodevices, and improve diagnosis, treatment, and understanding of human disease.
Students