Research Data

TIFFANY CHAN

Cell: 917-***-**** Email: *******.*.********@*****.*** LinkedIn: https://www.linkedin.com/in/tiffanywchan/ I am a highly dedicated and motivated individual with one year of Molecular Biology laboratory experience including techniques in DNA extraction, DNA quantitation, PCR and qPCR amplification, capillary and gel electrophoresis, DNA sequencing, and STR analysis using GeneMapper and GeneMarker. I also have one year of Advanced Instrumental laboratory experience including techniques and analysis in UV-VIS Spectroscopy, IR Spectroscopy, Gas Chromatography, and HPLC.

Education

The City University of New York, John Jay College of Criminal Justice Master of Science, Forensic Science with concentration in Molecular Biology, PSC-CUNY Grant Recipient ($1,200) Fordham University

Bachelor of Arts, Natural Science, Jogues Scholarship Recipient ($28,000) Experience

John Jay College of Criminal Justice – New York, New York December 2018 – May 2020 Graduate Student Researcher

• Authored a technical note on the “Identifying Counterfeit Cigarettes Using Environmental Pollen Analysis: An improved procedure”, accepted for publication in the Journal of Forensic Sciences.

• Proposed, researched, and wrote a graduate thesis on “Method Development for Identifying Counterfeit Cigarettes Using Environmental Pollen Analysis.”

• Applied palynology to differentiate between counterfeit and genuine cigarettes.

• Changed standard operating procedures from previous research work and improved outcomes by eliminating highly concentrated hazardous chemicals and incorporating user and environmentally friendly solvents.

• Oversaw approximately $10,000 worth of instrumentation such as centrifuges and biological microscopes.

• Interpreted and analyzed research data using biological microscopes (Nikon Eclipse E400) and Microsoft Excel. Results provided a simple, fast and effective method in differentiating counterfeit and genuine American-branded cigarettes by applying palynology. This research project also provided opportunities for further research for incorporation of artificial intelligence for identifying pollen profiles in tobacco samples. Fordham University – New York, New York July 2017 – May 2018

• Conducted preliminary palynology research on tobacco samples by determining patterns and relationships in pollen profiles apparent in counterfeit and genuine tobacco samples.

• Proposed and oversaw a pollen extraction protocol which led to discovery of patterns and relationships seen in pollen profiles for counterfeit and genuine tobacco samples.

• Analyzed pollen data collection and created microscope slides from tobacco samples to identify and count recovered pollen from extraction protocol.

• Represented the university at the ARS NOVA Research Symposium, by sharing research about the difference in pollen profiles between counterfeit and genuine tobacco products. Memberships

• Sigma Xi Research Honor Society April 2018 – Present Presentations and Publications

• Chan, T., Robinson, G., Liu, J., Kurti, M., He, Y., von Lampe, K. (2020). Identifying Counterfeit Cigarettes Using Environmental Pollen Analysis: An improved procedure. Journal of Forensic Science. (doi: 10.1111/1556-4029.14540)

• Master’s Thesis Defense June 29, 2020

“Method Development for Identifying Counterfeit Cigarettes Using Environmental Pollen Analysis” John Jay College of Criminal Justice, New York, New York.

• ARS NOVA – Arts and Research Showcase April 12, 2018 Fordham University, New York, New York.

Contact this candidate