Irfan Khan

Experience

• 

  EJuicy Solutions

  Feb 2013 - Aug 2014

  Software Engineer

  web development using CodeIgnitor framework in PHP

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  National University of Sciences and Technology (NUST)

  Sept 2013 - Aug 2014

  Research Centre for Modelling & Simulation (RCMS)
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  University of Helsinki

  May 2015 - Aug 2015

  Research Intern

  worked on Machine learning applicationEvolutionary Inference via Poisson Indel Process

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  SciLifeLab (Science for Life Laboratory)

  Oct 2015 - Dec 2015

  Research Intern, BILS & MTC Karolinska Institute, Andrey Alexeyenko

  Data Analysis in R language, linux environment, Batch JobsThe aim of this study was to analyze the alteration in methylation pattern upon p53 knock-out in normal fibroblast cells.

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  University of Helsinki

  Mar 2016 - Dec 2016

  Research Assistant

  worked on RNAseq Data, learned bash scripting, Python, R, Pipeline developmentIn summary, the objective of my project is to perform comparative genomic analysis of co-expressed networks across species that elucidates conservation in gene regulation. This research aims to answer the question "how the gene regulatory interactions are conserved with increasing evolutionary distance". To solve the question, I am adopting a multi-view data analysis methodology, in particular integrating gene expression data, regulatory interactions, network topology and ortholog identities.Title : "Detecting gene regulatory networks conserved across species from RNAsequencing data"​ Show less

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  Institute for Molecular Medicine Finland (FIMM)

  Mar 2017 - Oct 2017

  Research Assistant

  Masters thesis: Drug side-effect prediction using machine learning methods

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  Aalto University School of Science and Technology

  Dec 2017 - Aug 2018

  Project worker in Probabilistic Machine Learning group

  HPC of machine learning models on big dataIn summary, the aim was to use extreme scale machines on problems such as pharmaceutical compound activity description, dealing with aspects such as algorithm design, software development and testing on realistic industrial data sets using supercomputers.

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  University of Helsinki

  Nov 2019 - Apr 2020

  Technical Assistant

  Developmental Neurogenetics

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  Aalto University

  Apr 2020 - Aug 2020

  Technical Assistant

  Involved in various tasks related to big data management and analytics by utilizing CSC supercomputing environment. I also led the implementation of deep learning models for textual analysis. Moreover, I implemented algorithms for topic modeling and polarity and explicated the signal in the data to support the research.

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  University of Eastern Finland

  Nov 2020 - Dec 2020

  Teaching Assistant

  Conducted tutoring sessions and prepared CCLE, GDSC datasets for drug sensitivity prediction for the course ”Machine learning basics and applications in biomedical data analysis”

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  Turku University of Applied Sciences

  May 2021 - now

  Federated Machine Learning for Brain Tumor Image Segmentation

  • Senior Researcher

    Jan 2024 - now

  • Research Engineer

    May 2021 - Jan 2024