Congratulations to Tyrone Chen for passing the confirmation milestone with flying colours, and getting his fist PhD paper accepted the same week was the icing on the cake. Congratulations Tyrone!!
We welcome Kunal Tembhare who has joined the lab under the joint Monash-IITB Ph.D. program. Kunal is an experienced bioinformatician with a background in computer science and biotechnology. Kunal will be working on the application of AI in human genomics.
Sonika Tyagi gave a keynote talk at an APBioNET International Symposium on Bioinformatics in India in December 2019.
1. Sonika Tyagi is a recipient of the AISRF EMCR Fellowship 2020 offered by the Australian Academy of Science and supported by the Department of Industry Innovation and science. Read more about the award here:
2. Congratulations to Tyrone Chen and Emma Gail for winning a prize at the Data Fluency digital toolkit competition 2019. Tyrone has also been selected to give a lightning talk on his poster titled "Using Deep Learning to Unravel Hidden SIgnals in Big Biological Data".
Tarun Bonu of the Tyagi Lab was awarded a competitive Summer Internship from the Pawsey Supercomputing Centre to work on Characterisation and comparative analyses of immune genes in marsupials.
Tyrone Chen received Dean's Scholarship to start PhD at the Tyagi Lab. Tyrone is an experienced bioinformatician with interest in 'Omics' data analysis and developing machine learning approaches. Welcome Tyrone to the lab.
Sonika Tyagi speaks at the Women in Science panel at the Monash University.
Sonika Tyagi starts her Bioinformatics research lab at the School of Biological Sciences, Monash University Clayton campus.
Sonika Tyagi speaks at the EMBL-ABR on the importance of data fluency for research and the need for filling up the computational skills gaps in our biology educations at the universities. Read the full interview here: https://www.embl-abr.org.au/sonika-tyagi-interview/
A bunch of very bright high school students from John Monash Science School did an internship with Sonika Tyagi. The project was a result of collaboration with Dr Linda McIver of the Australian Data Science Institute. The students successfully completed and presented the work at the Lorne Genome 2018 conference.