Melbourne,Australia
Joined December 2009
Starting in about one hour, the first #ISMB town hall event for pathogen-related datasets. Come learn about new tools and approaches, and share in an interactive discussion on what the community needs to keep pace. Jefferson East/11:00am. #ismb20206 pathogendatanetwork.org/netw…
3
7
501
Attending #ismb2026? Help shape the future of infectious disease data resources. Join us Thursday (11:00AM) for the Open Community Forum — No registration required. Learn more and optional RSVP: pathogendatanetwork.org/netw…
1
106
A/Prof Sonika Tyagi retweeted
The first day of #ISMB2026 went great with keynote talk of Richard Durbin! Met so many friends. The 2nd day starts with a bang by meeting my senior from JNU @tsonika after ~19 yrs!!!🥰
Happy to see beautiful pics from NASA's Hubble and JSW pics of celestial objects, as the first thing after landing!!!
2
1
14
1,951
A/Prof Sonika Tyagi retweeted
We hope this work supports more reliable and principled approaches to handling missingness in EHRs, where incomplete data are the norm.
1
54
A/Prof Sonika Tyagi retweeted
This study systematically compares seven methodological paradigms for managing missingness (within or across modalities) in EHR data, highlighting how different algorithmic assumptions influence performance under different missingness distributions.
1
1
50
A/Prof Sonika Tyagi retweeted
Very happy to share the publication of our article “A comparative evaluation of handling missing data points and modalities in electronic health records” accepted in the International Journal of Medical Informatics. sciencedirect.com/science/ar…
2
1
63
Sharing our latest publication led by my previous PhD student Tyrone Chen in Nature Scientific Reports
2
2
3
626
Our pipeline is organism-agnostic, enabling powerful applications well beyond sepsis research
1
1
47
A step towards smarter, faster, and more precise infectious disease research.
1
31
Along with my PhD student Naima Vahab, I am very excited to share our invited review in BMC Artificial Intelligence.
1
1
110
The review explores how RNA sequence based foundation models (FMs) are reshaping predictions of ncRNA structure & function.
2
28
We also compare and contrast various DNA and RNA FMs
21
We highlight key deep learning architectures, data challenges, training strategies, and open challenges to guide the next phase of AI-driven RNA research.
18
A/Prof Sonika Tyagi retweeted
🤖  New WAI Legal Insights: “AI Sandboxes: Where Innovation Meets Regulation” This article explores how EU regulatory sandboxes support innovation in AI, tackling compliance & bias for safer tech development. 📖 womeninai.co/post/ai-sandbox… #WAILegalInsights #EUAIAct
2
1
1
5
2,412
Excellent initiative to spread awareness about women’s health in multicultural communities @Nishaobgyn
1
118