Dharmesh Bhuva

Dr Bhuva is an expert in developing and implementing novel computational methods that have been widely used in the field to advance knowledge of disease systems. He is a well-rounded early career researcher who has led teams to develop innovative solutions to complex analytics problems that enhance biological insight from data.

Contributions to science: Bhuva has worked in the fields of computational and systems biology for over 5 years with a focus on developing approaches to decipher complex molecular phenotypes and the regulatory mechanisms from various cancer data types, including single-cell and spatial transcriptomics. His recent work highlighted a wide-spread issue with analysing spatial ‘omics datasets and resulted in recommended best practices to address it. He has disseminated his work through 28 conferences, seminar talks and workshops (14 invitations).

Supervision, mentoring and teaching: Bhuva has delivered guest workshops to the University of Melbourne masters students for 4 consecutive years. He has also been invited to deliver 6 workshops, including one international workshop. He has successfully supervised 2 MSc students that have gone on to PhDs and has mentored 2 PhD students in his lab. He is currently supervising a PhD student (2023-present).

Professional engagement: Bhuva is a member of the Australian Bioinformatics and Computational Biology Society (ABACBS). He was on the organising committee of the annual ABACBS conference (2022, Melbourne). He has helped organise the WEHI Bioinformatics and Computational masterclass (Online, 2021) that had attendees from 15 countries. He formed the post-doctoral committee at the newly established South Australian Immunogenomics Cancer Institute (SAiGENCI) and served on the committee from 2024-2025.