Kenny Lam
Bio/Cheminformatics | Machine Learning
My name is Kenny Lam, I am a Research Assistant at The University of Melbourne. I completed my Bachelor's study in data science at ANU in 2018. Afterward, I decided to pursue the field of bioinformatics, where I went on to study MSc (Bioinformatics) at The University of Melbourne. During the MSc, I completed the Google Summer of Code 2023 program at EMBL-EBI, and a data science internship at Bega Group. For my current work, I am currently working on multiple chemical engineering projects collaborating with industry partners.
Project highlight
ION: Differentiating Real and Misaligned Introns with Machine Learning  View Details
Associated Research Group: Genome Interpretation team - Ensembl (EMBL-EBI)
Associated Project: GENCODE
Program: Google Summer of Code 2023
May 2023 - Sep 2023
Predicting and Optimising Small-Molecule Pharmacokinetic Properties using Machine Learning
Associated Research Group: Biosig Lab (University of Melbourne)
Jul 2022 - Present
Analyse and Optimise the Production Process of Lactoferrin
Associated Company/Division: Bega Group - Bega Bionutrients
Feb 2023 - May 2023
Using Graph-Based Signatures to Identify Neuroprotective Compounds
Associated Research Group: Biosig Lab (University of Melbourne & University of Queensland)
Feb 2023 - July 2023
Alcoholism Classification using Cascade Correlation Neural Network with Electroencephalography Data View Details
Associated Organisation: School of Computer Science - Australian National Univesrity
Mar 2021 - Jul 2021
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