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About Me

I am mainly interested in working in the field of Systems Biology and exploring the mechanism of Tumour Heterogeneity, Cancer Metastasis and Cellular Differentiation. I am driven by the desire to explore the unknowns and learn through practical experience.

Contact Details

Abhay Singh
(+91) 7578952820
abhay18a@iitg.ac.in
ssabhay6@gmail.com

Education

Indian Institute of Technology Guwahati

B-Tech in Biotechnology 2018-2022

Minor in Electronics & Electrical Engineering

Key Courses:
Biotechnology : Bioinformatics, Computational Biology, Biological Data Analysis, Biophysics, Immunology, Genetic Engineering, Microbiology, Cell and Molecular Biology, Biochemistry, Bioengineering, Basic Biotechnology Lab
Mathematics : Linear Algebra, Multivariable Calculus, Partial Differential Equations, Real Analysis & Complex Analysis
MOOCS : Deep Learning Specialization, AI for Medicine, Inferential Statistics
Computer Science : Introduction to Computing, Computing Lab

Current CGPA : 8.86/10

St. Antony's Inter College

Class XII (Senior Secondary Examination), ISC board May 2017

Class XII (ISC): Physics, Chemistry, Mathematics, Computer Science. Grade: 97.60%
Class X (ICSE): Science, Computer Applications, Mathematics. Grade: 96.17%

Work Experience

University of Michigan, Ann Arbor, Michigan, USA

Remote Research Internship, Systems biology lab January 2021 - Present

Dr Sriram Chandrasekaran, Assistant Professor, Department of Biomedical Engineering, University of Michigan

  1. Working on single cell metabolic modelling of Cancer cell lines through COBRA toolbox.
  2. Performing single-cell Metabolic Flux Analysis and Knockout Sensitivity Analysis to find significant genes
  3. Integrating single cell COBRA with validation data for computational CRISPR Cas9 knockout screens from DepMap portal.

Indian Institute of Technology Guwahati

Bachelor Thesis Project, Viral Immunology Lab March 2021 - Present

Dr Sachin Kumar, Associate Professor, Department of BSBE, IIT Guwahati

  1. Dry Lab work: Working on Protein Structure Prediction of chicken RNPS1 by Homology modelling. Checking the interaction of chicken RNPS1 with NDV proteins and human RNPS1 with JEV proteins through molecular docking and MD simulation of the docked protein-protein complexes.
  2. Wet lab techniques: Mammalian cell culture, plaque assay, RNA and plasmid isolation, Agarose Gel electrophoresis, SDS PAGE, Semi quantitative RT-PCR and Real Time PCR.

International Institute of Information Technology, Hyderabad

Research Intern, Computational Systems Biology Lab June 2020 - September 2020

Deep learning approaches for single-cell gene expression data analysis

Dr. Vinod PK, Assistant Professor, Centre for Computational Natural Sciences, IIIT Hyderabad

  1. Implementation of Sparse Autoencoders & Adversarial Variational Autoencoders for dimensionality reduction of single-cell RNA seq datasets.
  2. Used Ensemble Learning for clustering the cells and benchmarking the results against gold standard clusterings.
  3. Biological interpretation of results through studying the network architecture and cell-type annotation of different clusters.

Projects

In silico single-cell analysis to elucidate intra-tumour heterogeneity

Dr. Ajai B. Kunnumakkara, Professor, Dept. of BSBE, IIT Guwahati   • Dec 2019 - February 2020

  1. Made single-cell RNA sequencing pipeline in R using Bioconductor and Seurat. Preprocessed the FASTQ files using Cell Ranger on Supercomputer Param-Ishan. Performed QC analysis, quantifying differential expression, and handling confounder variables to control for Batch effect.
  2. Used Uniform Manifold Approximation and Projection (UMAP), t-Distributed Stochastic Neighbor Embedding (tSNE) and Principal Component Analysis (PCA) to analyze the sequence data.

Identification of novel DNA Transcription factors by In silico approaches

Dr. Ajai B. Kunnumakkara, Professor, Dept. of BSBE, IIT Guwahati   • Dec 2019 - March 2020

  1. Analyzing whether a protein is a Transcription factor and checking if a Nuclear localization sequence is present or not.
  2. Classifying whether the sequence it is localizing is a promoter and finding the binding sites on the DNA strand by using BLAST and other Bioinformatics software.

  • Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven't found it yet, keep looking. Don't settle. As with all matters of the heart, you'll know when you find it.

    Steve Jobs
  • Again, you can't connect the dots looking forward; you can only connect them looking backward. So you have to trust that the dots will somehow connect in your future. You have to trust in something — your gut, destiny, life, karma, whatever. Steve Jobs

Get In Touch.

If you have any available opportunity for me at your organization then please contact me. Looking forward to connect and learn.

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