Submitted, 2016: Automated electrorotation shows the electrokinetic separation in pancreatic cancer cells is robust to acquired chemotherapy resistance, serum starvation, and epithelial-to-mesenchymal transition

Accepted, Cytometry A, 2016: Comparison and Optimization of Machine Learning Methods for Automated Classification of Circulating Tumor Cells

9 Nov 2015: AIChe-AES: Measuring Electrical Properties of Cancer Cells via Electrorotation

26 Oct 2014: MicroTAS 2014: Parallel capture of pancreatic cancer cells

26 Oct 2014: MicroTAS 2014: Parallel capture of pancreatic cancer cells

3 Aug 2014: Gordon Research Conference on Rare Cells in Circulation: Parallel capture of pancreatic cancer cells

3 Aug 2014: Gordon Research Conference on Rare Cells in Circulation: Parallel capture of pancreatic cancer cells

Gastroenterology, 2014: Detection of Circulating Pancreas Epithelial Cells in Patients With Pancreatic Cystic Lesions

Lab on a Chip, 2014: Microfluidic immunocapture of circulating pancreatic cells using parallel EpCAM and MUC1 capture: characterization, optimization and downstream analysis

18 Jan 2014: Society for Lab Automation and Screening: Circulating tumor cell (CTC) cancer biomarkers using geometrically enhanced differential immunocapture (GEDI) microdevices

27 Oct 2013: MicroTAS: Parallelized microfluidic immunocapture of circulating pancreas cells for the early detection of pancreatic carcinogenesis

25 Sep 2013: BMES: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients

25 Sep 2013: BMES: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients

25 Sep 2013: BMES: Multiplexed Microfluidic Immunocapture of Circulating Pancreas Cells for the Early Detection of Pancreatic Carcinogenesis

9 Jun 2013: Gordon Research Conference on Microfluidics: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients

9 Jun 2013: Gordon Research Conference on Microfluidics: Machine Learning Outperforms Manual Counting for Classifying Circulating Tumor Cells from Cancer Patients

9 Jun 2013: Gordon Research Conference on Microfluidics: Multiplexed Microfluidic Immunocapture of Circulating Pancreas Cells for the Early Detection of Pancreatic Carcinogenesis

9 Jun 2013: Gordon Research Conference on Microfluidics: Multiplexed Microfluidic Immunocapture of Circulating Pancreas Cells for the Early Detection of Pancreatic Carcinogenesis

9 Jun 2013: Gordon Research Conference on Microfluidics: Capture and interrogation of circulating tumors cells by use of geometrically enhanced differential immunocapture (GEDI) microfluidic devices