Thejkiran Pitti, (PhD)

Experience

• 

  Dissertation, Dr. A.L.M. Institute of Basic Medical Sciences. University of Madras

  Jan 2007 - Apr 2007

  Project student

  Screening of mutations in GJA8 and CRYBB2 inbilateral congenital cataract”.Project dealing with the study of exon specific mutations in connexin, GJA8 and β-crystallineby extracting the DNA from blood samples, followed by PCR amplification and DNA restriction. Asubject of GJA8 exhibited a single nucleotide polymorphism and other two positions with nucleotidesubstitutions.PUBLICATIONThejkiran Pitti and Narayanan Manoj*, Manuscript entitled; “Molecular evolution of the Neuropeptide Sreceptor” published in PLoS ONE journal [* - corresponding author]doi:10.1371/journal.pone.0034046 Show less

• 

  University of Leeds

  Jan 2008 - Feb 2008

  Demonstrator

  Eukaryotic Metabolism in Health and Disease – describing and helping biochemistry undergrads to carry outlaboratory experiments on glucose assay and lactate dehydrogenase isoenzyme tests.Bioinformatics and the Human Genome- assisting undergraduate students by clarifying doubts on genetic,structural and functional aspects of genes and proteins in their practical sessions.Invigilator – University of Leeds Feb-Nov’08Invigilated during regular and re-sit examinations at the University. Show less

• 

  Indian Institute of Technology- Madras

  Aug 2009 - Aug 2012

  Project Associate and Project Trainee

  “Molecular evolution of the Neuropeptide S receptor”. - Guided by Dr. N. Manoj, Department of Biotechnology. Project dealing with the origin and molecular evolution and molecular basis of divergence ofthe Neuropeptide S receptor (NPSR). NPSR-like sequences were identified in hemichordate andcephalochordate and occurrence of functionally significant divergent sites predominantly in theextracellular loops and transmembrane helices 2, 4,5 and 6.

• 

  National Tsing Hua University

  Sept 2012 - Dec 2019

  Doctoral Candidate (PhD)

  Worked on N-linked glycosylation sites and DNA binding proteins prediction problem usingprotein sequences ; Ligand binding sites prediction on protein surfaces using protein structures.Designed protein association networks to develop prediction models with Machine Learningtools using Python.Involved in a team that developed web server for prediction models

• 

  National Taiwan University

  Jun 2020 - Sept 2020

  Postdoctoral Fellow

  Involved in the analysis pipeline on MinION generated Nanopore sequencing data on 16S rRNA genes• Evaluating the taxonomical representation of microbiome found in the samples• Developed initial stages of workable pipeline comprising of basecalling, demultiplexing, sequence quality filtering and sequence trimming on nanopore samples

• 

  Taipei Medical University

  Feb 2021 - Jul 2021

  Postdoctoral Research Fellow

  Involved in handling multiple projects• Association of mobile phone usage to the incidence and death due to malignant neoplasm of the brain through population-based study • Prediction of probability of survival of terminally ill cancer patients based on actigraphy data, karnofsky score, comorbidities using machine learning approach.• Analysis of data from wearable device to measure correlation between physical activities, pattern of sleep, and vital health parameters.

• 

  Ajou University

  Aug 2021 - Feb 2022

  Postdoctoral Research Fellow

  Working on peptide therapeutic function prediction• Scrapping of information from various public resources to create data required to model the machine learning approaches • Developing machine learning based prediction models to predict anticancer peptide

• 

  Sungkyunkwan University

  Feb 2022 - Apr 2022

  Postdoctoral Researcher
• 

  Cognizant

  Aug 2022 - now

  Senior Associate