Chris Lamb

Graduate Researcher
Chris is a PhD student primarily acting as a resource for other undergraduate researchers involved with DoseNet and RadWatch or helps with public education at outreach events .

Education:

  • 2020 B.S., Nuclear Engineering, University of California – Berkeley

About:

Chris Lamb is a Nuclear Engineering PhD student in Professor Kai Vetter’s research group. His primary interests are in radiation detection and imaging and their applications to environmental research. His current research involves designing a multi-sensor system for detection of both radiation and chemical signatures. This system will be used for modelling of a normal chemical background to allow for improved anomaly detection. This system will be further improved through the contextual sensors that will be included (LiDAR, visual imagery, rain sensor and anemometer). In his free time, he likes to take pictures of nebulae as an amateur astrophotographer, play video games, watch anime, and hike or bike around Berkeley.

He is also currently one of the Graduate Student Instructors for the Fall 2022 Nuclear Engineering 104 course.


Previous Work:

Previously, he designed and built a Cylindrical Active Coded Aperture Detection System using ~128 NaI detectors for deployment in a van to allow for imaging and mapping of radiation. The cylindrical pattern allows for masking the detectors on one side of the system by using the detectors on the other side as a shadowing mask. This design (CAMIS) allows for imaging and localization of radioactive sources at distances about 100-200m away throughout the entirety of it’s 360-degree FOV.

In the past, his work for DoseNet primarily involved software creation for the operation of the sensors (Si radiation counter, D3S CsI hand-held radiation spectrometer and CO2/Air Quality/Weather) used on the devices installed in remote locations. He also designed the current implementation of the outdoor system layout, including the PCB design for the Raspberry Pi and the sensor mounting apparatus (laser-cut wood mounting plates). For RadWatch he helps with collection and preparation of fish samples for Gamma/NA Analysis, along with teaching the newer members about radiation detection equipment and analysis techniques.

In the Fall 2019 and Fall 2020 semesters, he served as the TA for Dr. Hanks’s Engineering 11, A Hands-on Introduction to Radiation Detection: Getting to Know Our Radioactive World. He was also one of the Knitting DeCal facilitators from Fall 2017 to Spring 2020.