- Computational Systems Biology
- Machine Learning
- Dynamic Modeling
- Mass Spectrometry
- Transcriptomics, Proteomics, and Metabolomics
Chanchala D. Kaddi received the B.S. in Biomedical Engineering and the M.S. in Electrical and Computer Engineering from Georgia Institute of Technology in 2008 and 2014, respectively. She is currently a Ph.D. student in Bioengineering at Georgia Institute of Technology. She is a National Science Foundation Graduate Research Fellow and P.E.O. Scholar.
Head and neck squamous cell carcinoma (HNSCC) is a cancer which arises in regions of the upper aerodigestive tract, including the oral cavity, oropharynx, larynx, hypopharynx, and tongue. It is the 6th most prevalent cancer worldwide, with approximately 600,000 new cases annually; in 2015, almost 60,000 new cases and more than 12,000 deaths are expected in the U.S. The rapid advancement of large-scale and high-throughput experimental technologies for measuring molecular expression - at the gene, protein, and metabolite levels - has enabled the study of HNSCC from a systems perspective. However, obtaining biological and clinical insight from these datasets remains a challenging task. This thesis research develops mathematical models and practical computational tools for data mining and knowledge extraction, real-time decision making, and dynamic system behavior prediction. These are evaluated and applied for advancing research into HNSCC from three perspectives: biomarker identification and validation, early diagnosis, and chemoprevention against disease recurrence and progression.