Jennifer HY Lin

Random forest classifier - machine learning in drug discovery series 2.2.1
A random forest classifier model that used a different approach for imbalanced drug discovery data. First contribution to an open-source library, chembl_downloader, also occurred while working on this work
VS Code

Random forest - machine learning in drug discovery series 2.2
A follow-up project on decision tree series using ChEMBL data - model building using scikit-learn with feature sections on imbalanced data, feature importances and hyperparameter tuning
VS Code

Decision tree - machine learning in drug discovery series 2.1.1, series 2.1.2 & series 2.1.3
Application of decision tree on small molecule drug discovery data from ChEMBL database targeting acetylcholinesterase
VS Code

Molecular visualisation (Molviz) web application
Using Shiny for Python web application framework
VS Code

Molecular visualisation (Molviz) web application
Interactive data table
VS Code

Working with scaffolds in small molecules
Manipulating SMILES strings using RDKit and Datamol
VS Code & RStudio IDE

Shinylive app in Python
Embedding app in Quarto document by using pyodide.http to import csv files
VS Code & RStudio IDE

Shinylive app in Python
Embedding app in Quarto document for compounds in COVID-19 clinical trials
VS Code & RStudio IDE

Shinylive app in Python
Data preparation for compounds in COVID-19 clinical trials - using Polars dataframe library
RStudio IDE

Shiny app in R
A Shiny app was built based on data from ChEMBL database showing differences in physicochemical properties for small molecules in different max phases.
RStudio IDE

Pills dataset - part 1, part 2 & part 3
Polars & Pandas dataframe libraries, web scraping, text cleaning via Polars, with Rust used for visualization via Plotly in Jupyter-Evcxr on pills dataset from US National Library of Medicine (Python & Rust)
Jupyter Lab & RStudio IDE

Small molecules in ChEMBL database - machine learning in drug discovery series 1.1, series 1.2 & series 1.3
Polars dataframe library (with Python binding), scikit-learn & machine learning used for ChEMBL database to predict max phase of small molecules (Python)
Jupyter Lab & RStudio IDE

Molecular similarities in selected COVID-19 antivirals
Cheminformatics project on molecular similarities between selected COVID-19 antivirals by using RDKit (Python)
Jupyter notebook in Anaconda & RStudio IDE

Registered pharmacist
Christchurch hospital pharmacy from 2019 to 2020 and community pharmacy from 2021 to 2022 (Canterbury, New Zealand), hospital pharmacy from 2012 to 2019 (NSW, Australia), hospital and community pharmacies from 2007 to 2012 (Canterbury, New Zealand)

Doctor of Philosophy
University of Sydney - thesis title: The use of computer-aided drug design in small molecule drug discovery
New South Wales, Australia

Master of Philosophy
University of Sydney - thesis title: Design, synthesis and testing of novel anti-cancer agents targeting secretary pathway calcium ATPase
New South Wales, Australia

Bachelor of Pharmacy
University of Otago
Otago, New Zealand

Discovery of 2',6-Bis(4-hydroxybenzyl)-2-acetylcyclohexanone, a Novel FtsZ Inhibitor
By Lin H-Y J, Battaje RR, Tan J, Doddareddy M, Dhaked HPS, Srivastava S, Hawkins BA, Al-Shdifat LMH, Hibbs DE, Panda D, Groundwater PW.
Molecules. 2022; 27(20), 6993.

A novel class of thiosemicarbazones show multi-functional activity for the treatment of Alzheimer's disease
By Palanimuthu D, Poon R, Sahni S, Anjum R, Hibbs D, Lin J H-Y, Bernhardt PV, Kalinowski DS, Richardson DR.
Eur J Med Chem. 2017; 139: 612-632.

Identification of agents targeting FtsZ assembly
By Panda D, Bhattacharya D, Gao QH, Oza PM, Lin J H-Y, Hawkins B, Hibbs DE, Groundwater PW
Future Med Chem. 2016; 8(10):1111-32.

Identification of dual PPARα/γ agonists and their effects on lipid metabolism
By Gao Q, Hanh J, Váradi L, Cairns R, Sjöström H, Liao VW, Wood P, Balaban S, Ong JA, Lin J H-Y, Lai F, Hoy AJ, Grewal T, Groundwater PW, Hibbs DE
Bioorg Med Chem. 2015; 23(24):7676-84.