About

Highly motivated researcher having a scrupulous attention to details with an excellent track record of solving complex problems and an exceptional ability to lead, mentor and collaborate with personnel across disciplines and diverse backgrounds. Overall, possesses +9 years of work experience, both in research and teaching.

Skills

  • Big Data analysis using Python and R Protein
    5
  • Protein Structure modeling and analysis
    8
  • Molecular Dynamics and Simulation
    8
  • Excellent Research and Analytical Skills
    10
  • Protein large language models (LLMs)
    5
  • English
    10

Recommendations

Tassanee Lerksuthirat

 12/2/2025
Provided a score of  
10
  for Aijaz Malik

Experience

Aijaz Malik

Work experience
  • Assist in developing a comprehensive pipeline to identify the novel and shared immunogenic neoantigens using WGS and WES data, with integration of RNA-seq for expression-based
  • validation.
  • Analyzed and interpreted WGS data from cancer patient using both short-read Illumina and
  • long-read sequencing platforms PacBio and Oxford Nanopore.
  • Assist in developing a AI/ML pipelines for variant prioritization, methylation profiling and neoantigen prediction contributing to personalized immunotherapy strategies
  • To develop molecular dynamic system containing an HLA protein and predicted neoantigen from the RNA seq data (TCGA database and in-house cancer patients) and evaluate the MD trajectories and comprehend the structural features of HLA-peptide complex for immunogenicity

Aijaz Malik

Work experience
  • Big data analysis of NGS (mostly RNA seq data) for the identification of novel neoantigen
  • Help to build the pipeline to identify the novel and shared immunogenic neoantigen from the RNA seq data
  • To develop molecular dynamic system containing an HLA protein and predicted neoantigen from the RNA seq data (TCGA database and in-house cancer patients) and evaluate the MD trajectories and comprehend the structural features of HLA-peptide
  • complex for immunogenicity

Aijaz Malik

Work experience
  • August, 2016 - February, 2022
  • Fulltime
  • Identifying the promising drug-like molecules against various diseases using different machine learning algorithms.
  • Analyzing protein-ligand/protein interaction via molecular dynamics and docking.
  • Building web based predictive QSAR models for unknown compounds.
  • Guiding graduate students and post-doctoral fellows to think critically and help them in designing and analysing both biological and computational experiments.
  • Gave special lectures at Thammasat University on “Drug Policy and Sustainable Disease Management and Hospital Management” to invited doctors from Bangladesh

Aijaz Malik

Work experience
  • Protein modelling of novel proteins using various web-based tools
  • Molecular docking and Simulation of proteins in apo form and with known and novelligands
  • Development of webserver for predictive models
  • Facilitating senior staff and students in performing computational analysis, designing biological and computational experiments

Aijaz Malik

Education
  • Construct the phage display library and identify the nano bodies that neutralize the intro activity of Adenylate Cyclase-Hemolysin Toxin of Bordetella pertussis

Aijaz Malik

Education
  • Bachelors in Medicine at   MUHS

Tassanee Lerksuthirat

 12/2/2025
Provided a score of  
10
  for Aijaz Malik