Dr Sahanawaz

Md Sahanawaz, PhD

Chemistry, interpreted through data.

I work at the intersection of chemistry and data science, using molecular information, statistical methods and machine learning to investigate chemical problems.

Research focus

Chemistry × data science

Cheminformatics

Representing, analysing and extracting useful information from molecular datasets.

Machine Learning in Chemistry

Developing data-driven approaches for classification, prediction and chemical pattern recognition.

Chemical Sensing & Molecular Recognition

Applying multivariate and machine-learning methods to chemical sensing and analyte discrimination.

Currently exploring

Building data-driven workflows for chemical research

My current independent research focuses on developing and evaluating machine-learning pipelines for problems including chemical property prediction, molecular data analysis and analyte detection.

  • Python
  • RDKit
  • PCA
  • LDA
  • Random Forest
  • Bayesian Methods
  • Chemical Data Analysis

Featured research

Machine Learning for Chemical Recognition

During doctoral research at IISER Kolkata, I investigated photochromic molecular receptors and their application to the recognition of biologically relevant analytes—combining spectroscopic responses with multivariate and machine-learning methods.

Read research overview →

Selected publications

Selected research

Analysis & Sensing — 2026

A Smart Photoswitchable Sensor for Differential Detection of Multiple Nucleotides In Two Photoswitchable States using Machine Learning Techniques

Demonstrated a photoswitchable tripodal receptor undergoing reversible cis–trans isomerization with differential binding affinities toward ATP, ADP, GTP, UMP, UTP, CTP, and inorganic phosphates. Differential UV–Vis spectral responses coupled with PCA and LDA enable robust multidimensional discrimination of nucleotides.

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Journal of Physical Organic Chemistry — 2024

Sequence effects on the thermal cis–trans isomerization of side-chain stearate-containing azobenzene polymers

Synthesized block and random copolymers containing stearic acid and azobenzene side-chains via RAFT polymerization. Revealed how polymer sequence and local microenvironmental polarity modulate transition-state stabilization and isomerization kinetics.

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All publications →

Teaching

Teaching chemistry with emphasis on understanding.

Lecturer and Head of the Department of Science & Humanities at Sheikhpara ARM Polytechnic, teaching chemistry across multidisciplinary diploma programmes.

Current teaching includes:

  • Applied Chemistry
  • Applied Chemistry Laboratory
  • Fundamental Chemistry

Teaching across:

  • Medical Laboratory Technology
  • Food Processing Technology
  • Computer Software Technology
Teaching & student resources →

Journey

From molecules to data

  1. 2016 B.Sc. Chemistry Ramakrishna Mission Vivekananda Centenary College
  2. 2018 M.Sc. Chemistry IIT Bombay
  3. CSIR-NET All India Rank 17 Junior Research Fellowship
  4. 2026 PhD in Chemistry IISER Kolkata
  5. Present Lecturer & HOD Science & Humanities · Sheikhpara ARM Polytechnic

Beyond chemistry

Human performance through the same scientific lens.

Outside chemistry, I have a strong interest in evidence-based human performance, resistance training and fitness. I am a certified Menno Henselmans Personal Trainer and explore how scientific reasoning applies to training, nutrition and human performance.

More about me →

Let's connect

Research. Collaboration. Education.

I am interested in connecting with researchers, institutions, educators and students working in chemistry, cheminformatics and chemical data science.