Johny Ijaq, Ph.D.

Research Associate at University of Hyderabad
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Contact Information
us****@****om
(386) 825-5501
Location
Hyderabad, Telangana, India, IN
Languages
  • English Professional working proficiency
  • Telugu Native or bilingual proficiency
  • Hindi Elementary proficiency

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Credentials

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Feb, 2021
    - Oct, 2024
  • Structuring Machine Learning Projects
    Coursera
    Feb, 2021
    - Oct, 2024
  • Neural Networks and Deep Learning
    Coursera
    Jan, 2021
    - Oct, 2024
  • 2020 Complete Python Bootcamp
    Udemy
    Dec, 2020
    - Oct, 2024
  • The Science of Success: What Researchers Know that You Should Know
    Coursera
    Dec, 2020
    - Oct, 2024
  • Deep Learning A-Z
    Udemy
    Nov, 2020
    - Oct, 2024
  • Deep Learning Foundation Bootcamp
    DPhi
    Sep, 2020
    - Oct, 2024
  • IBM Data Science Specialization
    Coursera
    Sep, 2020
    - Oct, 2024
  • R Programming
    Coursera
    Aug, 2020
    - Oct, 2024
  • Data Science Foundation Bootcamp
    DPhi
    Jul, 2020
    - Oct, 2024
  • Python for Everybody Specialization
    Coursera
    May, 2020
    - Oct, 2024
  • Command Line Tools for Genomic Data Science
    Coursera
    Mar, 2020
    - Oct, 2024
  • Y Combinator Startup School - 2019
    Startup School Online
    Sep, 2019
    - Oct, 2024
  • Big Data, Genes and Medicine
    Coursera
    Dec, 2018
    - Oct, 2024
  • The Joy of Computing using Python
    NPTEL
    Oct, 2018
    - Oct, 2024
  • Innovation, Business Models and Entrepreneurship
    NPTEL
    Sep, 2018
    - Oct, 2024
  • BioInformatics: Algorithms and Applications
    NPTEL
    Apr, 2018
    - Oct, 2024
  • Biostatistics and design of experiments
    NPTEL
    Sep, 2017
    - Oct, 2024
  • Bioinformatic Methods - I
    Coursera
    Jul, 2017
    - Oct, 2024
  • Bioinformatic Methods - II
    Coursera
    Jul, 2017
    - Oct, 2024
  • Machine Learning
    Coursera
    Jul, 2017
    - Oct, 2024
  • Python for Genomic Data Science
    Coursera
    Jun, 2017
    - Oct, 2024
  • Genomic Data Science with Galaxy
    Coursera
    May, 2017
    - Oct, 2024
  • Interactomics
    NPTEL
    Apr, 2017
    - Oct, 2024
  • Introduction to Proteomics
    NPTEL
    Apr, 2017
    - Oct, 2024
  • Career Brand Development and Self-Coaching
    Coursera
    Aug, 2016
    - Oct, 2024
  • Strategic Self-Marketing and Personal Branding
    Coursera
    Aug, 2016
    - Oct, 2024
  • Strategic Career Self-Management
    Coursera
    Jul, 2016
    - Oct, 2024
  • Try R
    Code School

Experience

    • India
    • Higher Education
    • 700 & Above Employee
    • Research Associate
      • Apr 2021 - Present

      • Metabolite profiling from different types of biological matrices (biofluids, cell lines, bacterial cultures) using GC-MS and LC-MS/MS-QTOF • Contributing to set-up of standardized protocols for sample preparation • Operating and troubleshooting chromatographic/mass spectrometry equipment • Carrying out sample analyses using the targeted and/or untargeted approach • Contributing to set-up of standardized LC-MS methods for targeted analysis • Performing data analysis using the existing bioinformatics platform (MetaboAnalyst) • Keeping an up to date written and electronic record of laboratory work • Contributing to maintenance of adequate stocks in the laboratory (consumables such as chemicals, gases, disposables) • Helping ensure the functionality of key platform apparatus (service/maintenance) by liaising with the platform staff in a timely manner Show less

    • Research Services
    • 300 - 400 Employee
    • Research Trainee
      • Sep 2020 - Dec 2020

    • Higher Education
    • 500 - 600 Employee
    • Doctoral Student
      • Jan 2013 - Dec 2019

      𝐓𝐢𝐭𝐥𝐞: Machine Learning Based Evaluation of Human Hypothetical Proteins and Validation of Their Expression. 𝐓𝐡𝐞𝐬𝐢𝐬 𝐰𝐨𝐫𝐤: My PhD work mainly focused on studying human hypothetical proteins (HPs), a group of proteins for which there is no experimental evidence of translation and functional characterization. Different bioinformatics tools and methods were used for the functional annotation of hypothetical/uncharacterized protein sequences. Different available functional annotation methods were evaluated using machine learning based models. Later, to check whether or not these sequences are translatable, proteomics based approach was used to provide the analytical basis of their identification. My study established most of these hypothetical sequences as non-coding RNAs and the products of pseudogenes rather than proteins. However, confirming the expression of few HPs at protein level made it clear that these 'hypothetical' or 'uncharacterized' proteins cannot be completely ignored. PMID: 25873935 PMID: 30621574 https://doi.org/10.1007/s42485-020-00030-1 Show less

    • Research Services
    • 300 - 400 Employee
    • Guest Researcher
      • Jan 2019 - Jun 2019

      Project: Identification and Characterization of Human Hypothetical Proteins from Cancer Cell lines using proteomics and bioinformatics approaches. • Sample preparation for proteomics • Purification of proteins using SDS-PAGE and 2D gel electrophoresis • Protein profiling using LC-MS/MS methods (Thermo Q Exactive HF) • Label free quantification Project: Identification and Characterization of Human Hypothetical Proteins from Cancer Cell lines using proteomics and bioinformatics approaches. • Sample preparation for proteomics • Purification of proteins using SDS-PAGE and 2D gel electrophoresis • Protein profiling using LC-MS/MS methods (Thermo Q Exactive HF) • Label free quantification

    • India
    • Government Relations Services
    • 1 - 100 Employee
    • Summer Research Fellow
      • May 2018 - Jul 2018

      Project: Identification of differentially expressed genes in Staphylococcus aureus in response to antibiotic exposure. Project: Identification of differentially expressed genes in Staphylococcus aureus in response to antibiotic exposure.

    • Teaching Assistant
      • Sep 2015 - Sep 2017

      Taught Biochemistry, Cell biology, and Molecular biology courses to MSc students. Taught Biochemistry, Cell biology, and Molecular biology courses to MSc students.

Education

  • National Academy of Legal Studies & Research (NALSAR) University Hyderabad
    PG Diploma in Patents Law, Intellectual Property Law
    2019 - 2020
  • Osmania University
    PhD, Biotechnology
    2013 - 2020
  • Osmania University
    Master's, Biochemistry
    2009 - 2011
  • Kakatiya University
    Bachelor’s, (Biotechnology, Biochemistry, Chemistry)
    2004 - 2007
  • Sri Chaitanya College of Education
    Intermediate (Biology, Physics, Chemistry), 90.3%
    2002 - 2004

Community

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