Adrian Salavaty

Adrian Salavaty

Senior Bioinformatician
(Senior Scientist)

oNKo-Innate Pty. Ltd

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

 
 
 
 
 
oNKo-innate
Senior Bioinformatics Scientist
Nov 2023 – Present 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 – Present 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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