Hi, I’m Hannah. I am a process development engineer at Phylagen.
I graduated from Brown University with Honors in Chemical and Biochemical Engineering and extensive coursework in biology and biomedical engineering. I am experienced in high throughput upstream process engineering and laboratory integration/process development and am especially passionate about the use of automated screening platforms for cancer and genetic testing.
At Brown, I was involved in stem cell research and nanotoxicity research, volunteered at the Rhode Island Hospital, and taught violin.
I am pursuing a Master of Science in Computational Data Science at Georgia Tech while working. I hope to leverage computational and statistical skills to improve experimental design and model biological or molecular processes.
In my free time, I enjoy making music and reading. I have been playing the violin for 18 years!
SKILLS
Laboratory
Laboratory Automation
qRT-PCR, NGS
Flask and Bench-scale Bioreactors
Computational
Python (Pandas, NumPy, Seaborn, Matplotlib), R
MySQL
JMP
Machining
Metal and Wood-working
3-D Printing
WORK EXPERIENCE
Process Development Engineer
Phylagen
San Francisco, CA
Research Associate
Zymergen
Emeryville, CA
Undergraduate Researcher
Hurt Lab, Brown University
Providence, RI
Automation Intern
Merck Research Lab, Drug Metabolism
Rahway, NJ
Research Assistant
Shukla Lab, Brown University
Providence, RI
Research Assistant
Rowan University Graduate School of Biomedical Sciences
Stratford, NJ
Developed and optimized a custom lysis buffer and sample process method that decreased production process time by over 50% and facilitated compatibility with automation that was adopted for production.
Wrote a data analytics and visualization pipeline in R for routine research and development experiments.
Partnered with software engineering to automate qPCR data input and upload to LIMS.
Developed a high-throughput screening process for amino acid detection that decreased implementation time by 20%.
Wrote SQL queries and Python algorithms to track large experimental datasets in LIMS.
Analyzed and visualized experimental data results using Python and JMP.
Presented at cross departmental meetings and collaborated with fermentation engineers, data scientists, and strain engineers.
Determined nanomaterial toxicity levels in collaboration with Unilever.
Presented results at AIChE conference poster competition.
Successfully defended results as undergraduate honors thesis.
Developed a metabolic stability assay for high-throughput screening that reduced required reaction volume by 90%.
Scripted a liquid handler to automate the experimental process.
Collected/analyzed data from 150+ drug candidates.
Investigated the effect of geometric cues on human mesenchymal stem cell differentiation.
Received the Brown University Undergraduate Research and Teaching Award.
Investigated the role of Bcl-2 family proteins in cell apoptosis.
July 2020-present
June 2019-May 2020
Sept 2017-May 2019
May 2017-August 2017
Sept 2016-Jan 2018
May 2016-August 2016
built by hannah lam