Adrian Salavaty

Adrian Salavaty

Senior Bioinformatician
(Senior Cancer Scientist)

Peter MacCallum Cancer Centre

Biography

Adrian, born in 1993, earned his B.Sc. in Genetics from SCU in 2015. Following that, he pursued a Master of Biology-Biochemistry at the University of Kashan. He furthered his studies with a Ph.D. in Bioinformatics at the Australian Regenerative Medicine Institute (ARMI), Monash University, Melbourne. Subsequently, he joined the Children’s Cancer Institute Australia as a postdoctoral research officer before assuming his current role as a senior bioinformatician at oNKo-innate company. His research interests lie in Bioinformatics and Systems Biology, Graph-based Model Development, and Multi-omics Cancer Analysis. Adrian has a notable track record of developing multiple network analysis models and strategies for prioritizing candidate genes and proteins.

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Interests
  • Bioinformatics
  • Systems Biology
  • Graph-based Model Development
  • Multi-omics Cancer Analysis
Education
  • PhD in Bioinformatics, 2023

    Monash University

  • MSc in Cellular and Molecular Biology, 2018

    University of Kashan

  • BSc in Molecular Genetics, 2015

    Shahid Chamran University of Ahvaz

Skills

R
Data Analysis and Visualization,
R Package and Shiny App Development

95%

Python
Data Analysis and Visualization,
Python Package Development

85%

High Performance Computing
NGS Data Analysis,
Bash and Shell Scripting

75%

Nextflow
Nextflow Pipeline Development,
Chaining Tasks and Scripting Languages

70%

Bioinformatics
Genomics, Transcriptomics,
Proteomics, Multi-omics

95%

Systems Biology
Network Reconstruction and Analysis,
Graph-based Model Development

95%

Immunoinformatics
FACS/IncuCyte/AlphaLISA Data Analysis,
HT Compound Screening Data Analysis

80%

Cheminformatics
Structural Similarity & Fingerprint Analysis,
Drug-Drug and Drug-Target Interaction Analysis

50%

Machine Learning
Supervised and Unsupervised Models,
Classical and Modern Models

60%

Statistics
Statistical Data Analysis,
Biostatistical Modeling

70%

Accomplish­ments

Data Science and Machine Learning; Making Data-Driven Decisions
In this course I learned advanced Data Science & Machine Learning skills from world-renowned MIT faculty. The topics included Python, Machine Learning, Neural Networks, Deep Learning, NLP, Recommendation Systems, and Predictive Analytics.
See certificate
Application of Next-Generation Sequencing in Cancer Diagnosis and Management

Developments

*
SIRIR
SIRIR; SIR-based influence ranking.
SIRIR

Experience

 
 
 
 
 
Bioinformatics Core Facility, Peter MacCallum Cancer Centre
Senior Bioinformatician
Nov 2024 – Present Melbourne, VIC, Australia

Responsibilities include:

  • Multi-Omics Data Analysis
  • Systems Biology
  • Spacial transcriptomic/proteomic data analysis
  • Single cell and bulk RNA-seq/proteomics Data Analysis
 
 
 
 
 
oNKo-innate
Senior Bioinformatics Scientist
Nov 2023 – Nov 2024 Melbourne, VIC, Australia

Responsibilities include:

  • Omics Data Analysis
  • Drug-target compound screening analysis
  • Systems Biology
  • Pipeline development
  • Machine Learning
 
 
 
 
 
Arta Bioanalytics
Scientific Advisor
Oct 2023 – Oct 2024 Sydney, UNSW, Australia
 
 
 
 
 
Children’s Cancer Institute Australia
Research Officer
(Bioinformatician and Systems Biologist)
Mar 2022 – Nov 2023 Sydney, UNSW, Australia

Responsibilities include:

  • Omics Data Analysis
  • Graph-based model development
  • Cancer risk, driver, and biomarker module identification
 
 
 
 
 
ANUNA AI (Previously MEDDA)
Scientific Advisor
Oct 2021 – Sep 2023 USA
 
 
 
 
 
Monash University
Tutor (TA)
Mar 2020 – Nov 2021 Melbourne, VIC, Australia

Units taught:

  • Introduction to Bioinformatics (BMS5021) - Master of IT
  • Techniques in medical biotechnology; genomics, proteomics and bioinformatics (BRM5012) - Master of Biotechnology
  • Genomics and its applications (GEN3040) - Bachelor of Genetics
 
 
 
 
 
The Systems Biology Institute Australia
Professional Affiliate
Oct 2019 – Present Melbourne, VIC, Australia
 
 
 
 
 
Cancer Epigenetics Society
Professional Member (ID Number 1537)
Jun 2018 – Present
 
 
 
 
 
A global non-profit research consortium

Awards

Monash University top 30 PhD students according to publication records/prospects
The Best Oral Talk Based on People’s Choice
See certificate
The Best Student Oral Talk
See certificate

Grants

Monash Data Futures Institute Seed Grants - AI and Data Science for Monash Global Challenges

Finding the right targets: most influential nodes in complex networks

Chief investigators: Mirana Ramialison, Peter Currie, David Dowe

Adrian Salavaty is a named investigator in this grant

Journal Articles

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