Aniruddha Adiga

Aniruddha Adiga serves as a Research Assistant Professor at the Biocomplexity Institute, University of Virginia, where he co-leads infectious disease forecasting initiatives. His work develops statistical and deep-learning models for real-time disease prediction, bridging signal processing and machine learning to address public health challenges.

Education:

• Ph.D. in Electrical Engineering from the Indian Institute of Science (2018), focusing on sparse signal representation and blind deconvolution algorithms

Research Interests:

Dr. Adiga's work centers on applying machine learning and signal processing to infectious disease dynamics. He pioneers real-time forecasting systems using deep neural networks and statistical methods to model outbreak trajectories. His research integrates epidemiological data with computational techniques to enhance prediction accuracy for diseases like influenza and COVID-19, directly supporting public health decision-making through interdisciplinary approaches spanning computer science, data analytics, and global health security.

Scientific Awards:

• No awards specified in source material

Advising and Funding:

While specific students and grants aren't detailed in the text, his leadership in infectious disease forecasting implies active mentorship within the Biocomplexity Institute's research ecosystem. His work likely involves collaborative funding from public health agencies focused on epidemic prediction infrastructure.

Labs and Teams:

Dr. Adiga operates within the Biocomplexity Institute's infectious disease forecasting team, utilizing high-performance computing resources at their Charlottesville facility (Town Center Four). This group specializes in operational prediction systems that process real-world surveillance data for near-term outbreak projections.