Creative Technologist bridging biology and computation
B.Tech in Biotechnology from LPU, specializing in bioinformatics, machine learning for drug discovery, and computational approaches to biological research. Combining wet lab expertise with advanced programming skills to solve complex biomedical challenges.
I'm Musab Ali (also known as Mus Ab Ali or Musa Bali), a final-year Biotechnology student at Lovely Professional University with a unique blend of wet lab expertise and computational skills, passionate about leveraging technology to advance biomedical research and drug discovery.
Comprehensive training in genetic engineering, immunology, microbial fermentation, and bioprocess optimization. Hands-on experience with ELISA, electrophoresis, biosafety protocols, and advanced laboratory techniques from four years of intensive study at LPU.
Proficient in Python, R, and MATLAB for bioinformatics analysis, gene expression studies, and protein structure modeling. Experienced with Biopython, PyMol, AutoDock, and machine learning frameworks for biological data analysis and drug discovery.
Multiple hackathon victories including 3rd place at Manipal Hackathon (68+ teams), 2nd at IIT BHU, and 1st place at LPU VC Challenge. Demonstrated ability to innovate rapidly, solve complex problems under pressure, and deliver impactful solutions.
Contributed to cutting-edge breast cancer research by identifying potential drug targets through advanced bioinformatics analysis and genomic data mining. Worked with large-scale datasets to uncover critical mutations and pathways linked to breast cancer progression.
Led health awareness initiatives and vaccination campaigns across rural communities in Uttar Pradesh, bridging the gap between healthcare resources and underserved populations.
Supported differently abled individuals, particularly visually impaired students, by creating accessible educational materials and fostering an inclusive learning environment.
Computational biology projects that combine data science, machine learning, and biological research to address real-world biomedical challenges
Comprehensive computational analysis of gene expression data to identify key biomarkers for disease research. Utilized advanced statistical methods and machine learning algorithms in Python and R for data processing, normalization, and visualization to derive meaningful biological insights from high-throughput sequencing data.
Built detailed 3D models of protein structures to study molecular interactions and functional mechanisms. Applied advanced bioinformatics tools including PyMol and molecular dynamics simulations to predict protein folding patterns, stability, and binding site analysis for drug design applications.
Conducted comprehensive bioinformatics analysis to identify and validate potential drug targets for breast cancer treatment. Performed genomic data mining, pathway enrichment analysis, and molecular docking studies using computational methods to accelerate the drug discovery pipeline.
April 2025
Stood out among 68+ national teams in a high-pressure, 24-hour innovation challenge
March 2025
Recognized for outstanding performance in tech-focused hackathon at IIT campus
August 2022
Secured top position in university-hosted startup and innovation pitch challenge
March 2021
Topped national-level competition focused on logical reasoning and problem-solving
January 2023 — Present
Active member of Robotics and Intelligent Systems Community contributing to innovative projects
February 2020
Certificate of Excellence for A Grade in advanced aptitude and intelligence assessment by Brainbay
A comprehensive skillset spanning molecular biology, computational analysis, and software engineering for biomedical applications
Exploring ideas at the intersection of biotechnology, computational biology, and innovation
How machine learning and artificial intelligence are revolutionizing pharmaceutical research, from protein folding prediction with AlphaFold to automated high-throughput screening. Exploring the convergence of computational power and biological understanding that's accelerating drug discovery timelines from years to months.
Reflecting on four transformative years of biotechnology education at LPU and the evolution from traditional bench work to computational approaches. How learning Python and R opened new dimensions in biological research, and why every modern biotechnologist needs programming skills in today's data-driven landscape.
A comprehensive guide to the software, databases, and programming skills that are becoming indispensable in modern biotechnology. From BLAST and PyMol to Python and R, exploring the tools that bridge wet lab experiments with computational analysis and how to get started with each.
Open to research collaborations, biotech opportunities, and innovative projects in computational biology and drug discovery. Always excited to discuss the intersection of biology and technology.