Summary
Overview
Work History
Education
Skills
Computer Skills
Reproducible research
Publications
Major Bioinformatics Skills
Timeline
Generic

Niyaz Yoosuf

Director, Computational Biology
Lund

Summary

Highly motivated computational biologist with 15+ years of strong research experience in big data analysis and machine learning. Diligent and independent individual with in-depth knowledge of clinical studies and high dimensional data with documented publication record in peer-reviewed journals.

Overview

16
16
years of professional experience
3
3
years of post-secondary education
5
5
Languages

Work History

Director Computational Biology

BioInvent International AB
Lund
02.2022 - Current
  • Spearheaded successful computational biology programs for immunotherapy based preclinical studies.
  • Increased understanding of drug targets by streamlining projects and implementing cost-saving experiments.
  • Developed a core facility for high dimensional data analyses
  • Enhanced team collaboration through regular communication, goal setting, and performance evaluations.

Co-Founder

Queo Health
10.2022 - Current
  • Implemented data-driven decision-making to optimize business performance and drive growth.
  • Lead team for successfully designing machine learning algorithms for data analytics and visualization
  • Established and maintained strong relationships with customers, vendors and strategic partners.

Senior Postdoctoral Researcher - Pharmacogenomics

Karolinska Institute
09.2017 - 03.2021
  • Biomarker evaluation: Managed cross-functional teams, analyzed clinical, transcriptome, proteome and flow cytometry data. Integrative analysis of multi-omics data and interpreted statistical results for treatment response of rheumatoid arthritis patients
  • Personalized Medicine: Performed Unsupervised and Supervised clustering of big multi-omics data to predict anti-TNF treatment response
  • Industrial collaboration: Led projects, analyzed big data and worked with Pfizer's multidisciplinary team and delivered industrial research goals
  • Bioinformatics: Developed data processing pipelines for RNA-Seq data, CAGE, TCR-sequencing and provided bioinformatics/Linux/Server support to research group members
  • Teaching: Taught doctoral course "Basic Bioinformatics" for two years, co-supervised master's student thesis project and trained multiple Postdocs and doctoral students in Bioinformatics
  • Published research results in peer-reviewed journals and presented at seminars and meetings

Consultant Intern - Health Outcome Research

Schain Research
01.2021 - 03.2021
  • Use of real-world evidence data to support regulatory decision-making for pharmaceutical companies
  • Wrote methodological and analytical reports tailored to specific project and client needs and created Statistical Analysis Plan (SAP).
  • Applied statistical methods to rare genetic condition using Real-World Data (RWD) from National Swedish Patient Registries.
  • Health economics analysis and measured economic burden of disease
  • Analyzed, interpreted and presented research findings to Blue bird biotech company

Postdoctoral Researcher - Spatial Transcriptomics

Karolinska Institute
Stockholm
07.2014 - 06.2017
  • Developed Cap analysis gene expression (CAGE) analysis pipeline
  • Analyzed Spatial Transcriptomics (ST) data and applied machine learning methods to predict cell types in human breast cancer tissue sections and mouse olfactory bulb samples
  • Supervised master's student project.
  • Authored professional scientific papers for publishing in peer-reviewed journals.

Project Assistant - Evolutionary Biology

Indian Institute of Technology, Madras
07.2008 - 08.2010
  • Evolutionary Biology: Run project on phylogenetic analysis of polysaccharide lyase 8 family
  • Performed comparative genomics, phylogenomics and structural analysis of proteins

Education

Doctor of Philosophy - Bioinformatics

Aix-Marseille University
Marseille, France
11.2010 - 12.2013

Master of Science - Bioinformatics

University of Madras
Chennai, India
07.2006 - 2008.05

Bachelor of Science - Bioinformatics

Manonmaniam Sundarnar University
Tirunelveli, India
07.2003 - 2006.05

Skills

Clinical Research/Biomarker Discovery

undefined

Computer Skills

  • Operating system: Linux, Mac OSX, Windows
  • Programming languages: Python, SQL, bash
  • Statistical Programming: R/Bioconductor
  • Server management and support

Reproducible research

  • GitHub: https://github.com/niyaznihmath
  • R Markdown

Publications

Pubmed link below

https://pubmed.ncbi.nlm.nih.gov/?term=niyaz+yoosuf&sort=date

Major Bioinformatics Skills

  • High-throughput data analysis of genomics, transcriptomics (RNA-Seq, scRNA-Seq, CAGE), microarray analysis, proteomics and flow cytometry
  • Experience with stratifying clinical data & identifying biomarkers
  • T-cell repertoire sequencing and analysis
  • Spatial transcriptomics analysis
  • Machine learning, Unsupervised and supervised learning
  • Statistical analysis for Real World Evidence data
  • Genome assembly, genome annotation, Evolutionary analysis

Timeline

Co-Founder

Queo Health
10.2022 - Current

Director Computational Biology

BioInvent International AB
02.2022 - Current

Consultant Intern - Health Outcome Research

Schain Research
01.2021 - 03.2021

Senior Postdoctoral Researcher - Pharmacogenomics

Karolinska Institute
09.2017 - 03.2021

Postdoctoral Researcher - Spatial Transcriptomics

Karolinska Institute
07.2014 - 06.2017

Doctor of Philosophy - Bioinformatics

Aix-Marseille University
11.2010 - 12.2013

Project Assistant - Evolutionary Biology

Indian Institute of Technology, Madras
07.2008 - 08.2010

Master of Science - Bioinformatics

University of Madras
07.2006 - 2008.05

Bachelor of Science - Bioinformatics

Manonmaniam Sundarnar University
07.2003 - 2006.05
Niyaz YoosufDirector, Computational Biology