Mahdieh Labani

I have a passion for exploring how seemingly unrelated concepts, ideas, and functions in AI and genomics can be brought together to create new and innovative solutions for the benefit of humanity. While I don't claim to have all the answers, I am always eager to collaborate with others to discover new possibilities and achieve success in scientific discovery. It is my hope that my work can contribute to making a positive impact on our world.

I'm currently a second-year PhD student at Macquarie University and a research assistant at UNSW. I work with two amazing teams at Macquarie University and UNSW on the project "Data to Therapy (D2T): a bridge made of artificial intelligence from genomic data to targeted therapy". My current focus is on developing AI algorithms to analyze genomics and medical data and improve patient outcomes. I'm passionate about leveraging technology to solve complex problems in healthcare and beyond. When I'm not working, I love to spend time reading books, hiking, and cooking. I'm also passionate about helping children with cancer and have been actively thinking about how technology can assist them during their treatment. Besides my research work, I hope to make a positive impact in their lives.

Education

Ph.D. Candidate at Macquarire University, Data science, 2021 - Present
Dissertation Title: Data to Therapy (D2T): a bridge made of artificial intelligence from genomic data to targeted therapy
Supervisor: Prof. Amin Beheshti

Master of Science in Computer Engineering, Artificial Intelligence, 2014 - 2016
Dissertation Title: An unsupervised hybrid approach for text feature selection using population based optimization algorithm
Supervisor: Dr.Parham Moradi

Bachelor of Science in Computer Engineering, Birjand University, 2010 - 2014
Dissertation Title: Traffic Estimation and Navigation by Pervasive Computing
Supervisor: Dr.Hamed Vahdatnezahd

Technical and Professional Expriences

Research Exprience

• AI Specialist, Sydney Children's Hospital, June 2022 - Present
• Data Science Researcher, UNSW, Jun 2020 - Present
• Data Analyst, Lowy Cancer Research Centre , Jun 2022 - Present
• Biomedical Scientist, Scripps Research , Feb 2022 - Present
• Data Engineer, 23strands company , Feb 2022 - Jul 2022
• Research Assistant, Data Science Laboratory, University of Kurdistan , Oct 2016 - Oct 2017
• Research Assistant, RMIT University , Oct 2016 - Oct 2017

Teaching

• Sessional Lecturer, Sydney International School of Technology and Commerce, Aug 2022 - Feb 2023
• Guest Lecturer, UNSW Graduate School of Biomedical Engineering, Sep 2022 - Dec 2022
• Tutor, Birjand university of technology, Jan 2017 - Jan 2021
• Tutor, University of Kurdistan, Sep 2015 - Jul 2016

Research Interest

• Artificial Intelligence & Machine Learning
• Deep Learning
• Text classification
• Graph Representation Learning
• Advanced Optimization Algorithms
• Structural Biology
• Image Processing
• Bioinformatics

Programming Skills

• Python
• MATLAB
• C++,C#
• R
• Prolog
• Shell
• Server Scripting: SQL, PHP

Peer review activity

• Reviewer of IEEE Access Journal,
• Reviewer of BioData Mining Journal,

Volunteering

• Mentor, UNSW Graduate School of Biomedical EngineeringUNSW Graduate School of Biomedical Engineering, Aug 2022 - Jan 2023
• Female Ambassador, Big Data Society (BigDataSoc), Macquarie University, Jan 2023 - Present
• Director of IT, Big Data Society (BigDataSoc), Macquarie University, Jan 2022 - Dec 2022
• Event Director, Big Data Society (BigDataSoc), Macquarie University, Jan 2021 - Dec 2021
• Operating Systems: Windows, Linux