CV
Contact Information
| Name | Christopher E. Arcadia |
| Professional Title | ML Scientist |
| carcadia@alltrna.com |
Professional Summary
Machine learning scientist working on tRNA-based therapeutics. Research interests include machine learning, drug discovery, cheminformatics, and electrochemical sensing.
Experience
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2021 - present Cambridge, MA
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2021 - 2021 Chelmsford, MA
Project Engineer
Triton Systems
- Designed integrated sensors for an organ-on-a-chip platform
- Developed chemical detectors based on field-effect transistors
- Made an impedance analyzer for monitoring bio-activity
- Wrote grant proposals to address government solicitations
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2020 - 2021 Providence, RI, USA
Postdoctoral Research Associate
Brown University — Rosenstein Laboratory for Embedded Bioelectronics
- Developed a lab-on-a-chip cell culture platform
- Explored the use of autocatalytic reactions for alternative computing
- Developed an analysis pipeline for time-ordered reactions
- Designed control hardware for an open-source ventilator
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2013 - 2020 Providence, RI, USA
Graduate Research Assistant
Brown University — Rosenstein Laboratory for Embedded Bioelectronics
- Synthesized large libraries of drug-like compounds
- Developed high-throughput screening techniques based on mass spectrometry
- Stored over a megabit of data in chemical mixtures
- Developed an automated platform for making and using nanopore sensors
- Performed single-molecule studies with solid-state nanopores
- Designed a wide bandwidth, low noise current amplifier
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2011 - 2013 New York, NY, USA
Undergraduate Research Assistant
Columbia University — Shepard Group for Bioelectronic Systems
- Learned a variety of semiconductor fabrication techniques
- Evaluated graphene as an interconnect diffusion barrier
- Developed a microfluidic flow cytometer
- Built a rapid thermal annealing system
Education
Teaching
Skills
Topics: machine learning, signal processing, data analysis, circuit design, multiphysics simulation, sensor fabrication, lab automation, high-throughput screening
Programming Languages: Python, C, Java, MATLAB, LabVIEW
Data Science: numpy, scipy, scikit-learn, pandas, TensorFlow, PyTorch, RDKit
Circuit Design: Altium, KiCad, PADS, EAGLE, MPLAB, Arduino, Cadence
Simulation: COMSOL, Mathematica, LTspice
Analytical Chemistry: mass spectrometry, liquid chromatography, fluid handling, microplate readers
Documentation: Adobe CC, Microsoft Office, LaTeX, Git, Jupyter