About Me

Graduate student passionate about computational chemistry and molecular analysis, with proven expertise in web development and scientific computing. Currently preparing for advanced research opportunities in MS/PhD programs.

Academic Background & Research Interests

I am Shah Md. Jalal Uddin, a dedicated graduate student with a strong foundation in computational chemistry and molecular analysis. My academic journey has been driven by a deep fascination with the intersection of chemistry, mathematics, and computational science, particularly in how these fields can be leveraged to solve complex molecular problems and advance scientific understanding.

My research interests center on computational chemistry, molecular modeling, and scientific data analysis. I have developed expertise in SMILES molecular notation, chemical data processing, and the development of analytical tools for molecular research. Through projects like my Molecular Analyzer application, I have demonstrated the ability to bridge theoretical chemistry concepts with practical computational implementations.

I am actively seeking opportunities to pursue advanced graduate studies (MS/PhD) where I can contribute to cutting-edge research in computational chemistry, molecular dynamics, or related interdisciplinary fields that combine chemistry with computer science and data analysis.

Technical Expertise

Computational Chemistry & Scientific Computing

  • • SMILES Molecular Notation & Analysis
  • • Chemical Data Processing & Validation
  • • Python Scientific Libraries (NumPy, Pandas, RDKit)
  • • Molecular Modeling & Structure Analysis
  • • Scientific Data Visualization (Matplotlib, Seaborn)
  • • Research Methodology & Statistical Analysis

Software Development & Web Technologies

  • • Python Programming & Algorithm Development
  • • Next.js & React for Scientific Applications
  • • TypeScript & Modern JavaScript
  • • Streamlit for Interactive Data Applications
  • • Git Version Control & Collaborative Development
  • • Database Design & Scientific Data Management

Research Philosophy & Academic Values

Scientific Rigor

Committed to maintaining the highest standards of scientific methodology, data validation, and reproducible research practices in all computational and experimental work.

Interdisciplinary Collaboration

Passionate about bridging chemistry, computer science, and mathematics to create innovative solutions for complex molecular analysis and scientific computing challenges.

Continuous Learning

Dedicated to staying current with emerging technologies and methodologies in computational chemistry, always seeking to expand knowledge and contribute to scientific advancement.

Academic Achievements & Future Goals

Current Projects & Accomplishments

  • • Developed comprehensive Molecular Analyzer application using Python and Streamlit
  • • Implemented SMILES molecular notation validation and analysis algorithms
  • • Created scientific data visualization tools for molecular property analysis
  • • Built professional academic website using modern web technologies
  • • Demonstrated proficiency in scientific computing and data analysis

Graduate School Objectives

  • • Pursue MS/PhD in Computational Chemistry or related interdisciplinary field
  • • Contribute to research in molecular dynamics and quantum chemistry
  • • Develop novel computational methods for chemical analysis
  • • Publish research in peer-reviewed scientific journals
  • • Collaborate with research teams on cutting-edge projects