Today's life scientist is entrusted with analyzing, deciphering knowledge and discerning patterns from a deluge of raw and processed information as part of the discovery process.
Core technologies generating raw data such as sequences, images and traces are delivering at a rapid pace higher resolution of modality both in terms of quality and quantity.
Keeping pace with this growth are the underlying analysis techniques that employ technologies such as grid, high performance computing, web services, embedded databases, robotics, machine learning, semantic web to name a few.
My efforts are directed towards employing these emerging and established analysis techniques and tools, which are derived from various cross cutting disciplines and integrate them into the discovery process.
My research interest include development of tools for:
- 3D reconstruction and visualization
- Sample tracking technologies (barcode, RFID, wireless)
- Rapid Prototyping using Solid Modeling and 3D printing
- Laboratory Information Management Systems (LIMS)
- Semantic Web
My team (Biotechnology Computing Facility) engages with the campus community at various levels ranging from multi- institutional collaborative projects, graduate and undergraduate courses for credit and special topic seminars and workshops. With emphasis on enabling digital discoveries for the life sciences.