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Moji ******* AI Research Scientist
Summary
With 17 years of solid computational background, I have applied my skills to groundbreaking projects in both industry and academia. In my current role, I manage a team of data scientists and PhD students to analyze international COVID-19 datasets, helping governments worldwide make data-informed decisions. In previous roles, I applied statistical analysis and machine learning methods to various applications, including medical use cases, image processing, and quantum technology. My experience extends beyond science and academia; before my PhD, I worked in the IT industry for five years, including two years managing IT and analytics for a large food manufacturing company. In this role, I oversaw IT infrastructure, prepared reports for senior leadership, and received recognition for my innovative management. Throughout my career, I have successfully collaborated with cross-functional teams, including managers, data scientists, researchers, and domain experts globally, to develop solutions for complex challenges. As a lecturer and organizer of a large public meetup group, I am adept at communicating complex concepts to general audiences.
SKills
Education
- 2017 PhD in Computational Science at Griffith University
- 2007 Master’s in Computational Science at Amir Kabir University of Tech
Experience
- Sept 2021 - Present Senior Data Scientist at University of Queensland
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– As a Senior Data Scientist I oversee a team of data
scientists and PhD students on forefront projects in
statistical data analysis and machine learning (Using
Python and R). Our collaborative work spans various
applications like medical use cases and sensor technology
applications.
– The research we produce has had real-life impacts, such as
influencing COVID-19 policies of governments around the
world.
– Analysis of the dataset, the largest COVID dataset in the
world.
– Machine Learning for detection of Kidney injury in
hospitals in collaboration with Universities Digital Health
Centre.
– Improving the accuracy of training methods for neural
networks (CNNs, LLMs).
– Epidemiology time-series prediction using Transformers.
– Medical text summarisation using LangChain and LLMs (GPT,
Llama and Med-PaLM) - Dec 2018 - Sept 2021 Computational Scientist at Griffith University
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– Supervised stabilising computing chips using neural nets
(PyTorch) and an internet security project funded $870,000
by the government.
– I led a team of five to win the course and competition with
the project “Live video content control using machine
learning” (live object detection using the YOLO package). - March 2007 - Nov 2012 IT and Data Analytics Manager at Ash Food Manufacturing
-
– Managed the IT unit of the company, supervised 5
engineers and 15 technicians in the branches across the
country and managed a total annual budget of $500,000.
– Performed sales analytics with Excel and SQL Server.
– Received a letter of appreciation for transforming the
unit.