My research on spinal cord injury (SCI) has focused on understanding its complex pathophysiology and exploring regenerative medicine approaches to enhance recovery. SCI, resulting from traumatic impacts on the spine, leads to significant loss of sensory and motor function and profoundly impacts quality of life. While current treatments primarily offer supportive relief, regeneration in the central nervous system (CNS) remains a major challenge.
In a review article published in the Curieux Academic Journal, I examine the stages of SCI, key cellular interactions, and potential recovery pathways. This paper also discusses therapeutic approaches, including neuroprotective and immune-modulating strategies, and highlights advancements in using growth factors, stem cells, and scaffolds for SCI treatment.
Additionally, in collaboration with Polygence and the Cambridge Center for International Research, I explored the potential of mesenchymal stem cells (MSCs) and MSC-derived exosomes in SCI therapy. My work examines how combining MSC-derived exosomes with biomaterials enhances exosome retention and controlled release at injury sites, potentially improving recovery outcomes. This study, currently under peer review, emphasizes the need for a comprehensive approach to SCI treatment beyond focusing solely on individual markers of the injury.
As an intern at Circa Gene, I developed a DNA-based program that provides personalized health advice. This program is designed to help individuals select the most suitable foods, sports, and lifestyle habits based on their genetic makeup. Using scientific research and bioinformatics tools, I identified mutations that impact various aspects of health, with a specific focus on cognitive performance.
My journey with bioinformatics and simulation tools has been all about bringing science to life and tackling real-world challenges. For instance, I have been using Benchling to experiment with CRISPR and DNA alignment. With the Neurosimulator, I’ve also explored how neurospheres behave, and deepened my understanding of neural cell behavior. One of the most exciting parts has been using the Fast Phage Annotation Tool to brainstorm solutions to antibiotic resistance—a global health issue.
I’ve been exploring genetic engineering protocols using SnapGene to simulate a range of techniques, including restriction cloning, PCR, CRISPR plasmid design, Gateway cloning, In-Fusion cloning, Golden Gate cloning, and Gibson Assembly. Currently, I am working on a series of Medium articles that provide background research and detailed guides on how to use these tools effectively.
I am actively publishing articles on Medium that explore how emerging technologies can address significant real-world problems.
I have applied R for genetic data analysis, focusing on understanding the relationships between known mutations and specific diseases. By analyzing datasets, I explored how certain mutations impact disease progression and susceptibility. Additionally, I worked on reverse-engineering approaches—using datasets to identify previously unknown mutations that may be linked to particular diseases. This experience has given me valuable insights into both the predictive and diagnostic potential of genetic data analysis.