Dr. Ashwani Kumar

Dr. Ashwani Kumar

Assistant Professor | Bioinformatics Researcher

Chandigarh University, Mohali, India   |   ashwanibitian@gmail.com   |   +91 8894950565

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Expertise

Molecular Dynamics Simulations

Experience

Assistant Professor & Placement Coordinator

Chandigarh University, Mohali, Punjab | March 2022 – Present

Teaching bioinformatics and computational biology, coordinating placements, and conducting research in genomics and proteomics.

Research Associate

Sir Ganga Ram Hospital, New Delhi | June 2021 – February 2022

Analyzed genomic variants from WES and WGS data using GATK best practice pipeline.

Post-Doctoral Fellow

CSIR-IHBT, Dr. Ravishankar Lab (SCBB) | May 2018 – March 2021

Investigated k-mer motifs for RNA-binding proteins on miRNA sequences using machine learning and conducted MD simulations for RBP-RNA complexes.

Research Scholar & Teaching Assistant

Jaypee University of Information Technology | 2011 – 2017

Completed Ph.D. thesis on “Computational Mining of Genomic and Proteomic Data to Gain Insight about Alzheimer’s Disease” and assisted in organizing bioinformatics summer training programs.

Publications

  • Ashwani Kumar, et al. "RBPSpot: Learning on Appropriate Contextual Information for RBP Binding Sites Discovery." iScience (Accepted).
  • Upendra Kumar Pradhan, Nitesh Kumar Sharma, Prakash Kumar, Ashwani Kumar, Sagar Gupta, Ravi Shankar. "miRbiom: Machine-Learning on Bayesian Causal Nets of RBP-miRNA interactions successfully predicts miRNA profiles." Plos One.
  • Aditi Sharma, Lalit Sharma, Ashwani Kumar, Rohit Goyal. "Biomarkers for Alzheimer’s Disease." Metabolic Brain Disease (2019).
  • Ashwani Kumar, Ankush Bansal, Tiratha Raj Singh. "ABCD: Alzheimer’s Disease Biomarkers Comprehensive Database." 3 Biotech 9.10 (2019): 351.
  • Ashwani Kumar, et al. "Computational and in-vitro validation of natural molecules as potential Acetylcholinesterase inhibitors and neuroprotective agents." Current Alzheimer Research 16.2 (2019): 116-127.

Education

Ph.D in Bioinformatics

Jaypee University of Information Technology | 2013 – 2018

Thesis: Computational Mining of Genomic and Proteomic Data to Gain Insight about Alzheimer’s Disease

M.Tech in Computational Biology

Jaypee University of Information Technology | 2011 – 2013

M.Sc in Bioinformatics

University of Allahabad | 2006 – 2008

B.Sc in Botany, Zoology, Chemistry

University of Allahabad | 2003 – 2006

Key Achievements

  • Published research abstracts in high-impact journals (e.g., Alzheimer’s & Dementia, IF > 10).
  • Qualified National GATE (Life Science) Exam 2011 with All India Rank 483.

Skills

Programming Skills: Python (NumPy, Pandas, Matplotlib, Seaborn), R, HTML, CSS, JavaScript

Database: MySQL, Neo4j, MongoDB

Bioinformatics Tools: Biopython, Autodock, Gromacs, CellDesigner, Cytoscape, FastQC, SAM-tools, GATK4

Analytical Skills: Genomics, Proteomics, NGS, Molecular Docking, MD Simulation

Professional Strengths

  • Complex problem solving and critical thinking
  • Excellent time management and team coordination
  • Quick adaptability and cognitive flexibility