Alex Matlock Email & Phone Number

Boston, Ma, Us

Boston, Massachusetts, United States

Project 1: Diffraction phase microscopy (DPM) for characterizing Sickle Cell Disease (SCD)1. Developing handcrafted and machine-learning indices from DPM measurements identifying red blood cell (RBC) subpopulations in sickle cell anemia patients correlating with increased vaso-occlusive crisis risk2. Constructed, calibrated high-throughput diffraction phase microscope for snapshot recovery of RBC volume and hemoglobin concentration from over 300 cells per image to characterize single-cell SCD biophysical propertiesProject 2: Differential structured illumination microscopy (dSIM)1. Building and calibrating novel dSIM system for 3D quantitative phase imaging (QPI) for 30X larger space-bandwidth product and 3X faster volume rate acquisition over existing tomographic modalities2. Simulated dSIM system using propagation-based and convergent born-based optical models to illustrate 2.5X lateral and 7X axial resolution improvements using dSIM over conventional optical diffraction tomography3. Derived dSIM scattering theory showing novel “darkfield”-based structured illumination patterns could enable large field-of-view, high-resolution tomography with computationally efficient linear inverse scattering modelsCollaborative Projects1. Validating nano-scale manufactured substrate designs using quantitative phase imaging in collaboration with Prof. Ed Boyden’s Synthetic Neurobiology group at MIT2. Acquired, analyzed cell data using theTomocube tomographic imaging system for assessing validity of Angular light Scatteringmodel assumptions with Prof. Andrew Berger’s Group at the University of Rochester

Greater Boston Area

Project 1: Reflection-mode quantitative phase imaging1. Built, automated, and validated a reflection quantitative phase imaging microscope with programmable illumination on fixed cell samples showing enhanced contrast recovery of 100nm thin biological structures2. Validated reflection scattering model in simulation using rigorous finite-difference time-domain forward model to illustrate quantitative phase recovery is achievable in common-path configurations for nano-scale object features3. Derived, validated, and programmed linear scattering models for 2D and 3D reflection quantitative phase imaging of biological samples on imperfectly reflecting surfaces for high-resolution cytometry and metrology applicationsProject 2: Transmission-mode quantitative phase tomography1. Collaborated on design, acquisition, algorithm development, and image processing of bond-selective intensity diffraction tomography system capturing 3D label-free protein and lipid distributions in biological samples2. Designed, validated lightweight 2D neural network providing artifact-free, enhanced contrast 3D quantitative phase reconstructions of strongly scattering measured biological samples using only simulated training data3. Designed, implemented model-based multiplexed illumination schemes for capturing 3D biological structure dynamics and achieved 4Hz hardware-limited acquisitions of worm embryo development and bacterial motion4. Collaborated on theory and development of annular illumination-based system for high-speed 3D quantitative phase imaging to capture live C. elegans worm 3D internal and external structure dynamics at 10Hz volume rates

1002 Health Sciences Road, Irvine Ca, 92617

1. Organized weekly meetings, submitted quarterly reports, and mentored visiting researchers from Lucky Goldstar Electronics(LGE) in developing a next-generation diffuse optics-based imaging system for bedside breast cancer monitoring2. Assembled, tested, and validated 10 bedside system prototypes for use and testing at LGE and research centers around the U.S.3. Mentored Senior Design Capstone Project team for investigating new, continuous-wave optical imaging tools for use in next-generation breast cancer monitoring

1. Constructed and validated fast, low-cost, point-of-care diffuse optical spectroscopic imaging prototype monitoring bulk tissue oxygenation, water content, and lipid content for non-invasive breast cancer applications2. Programmed LabView,MATLAB, and Arduino IDE scripts controlling prototype’s operation, data acquisition, and processing

Davis, California

Installed operating systems and computer lab software, repaired broken computers, and fixed daily staff computer and printer problems

Doctor Of Philosophy - Phd, Electrical Engineering And Computer Science, 4.0

Bachelor’S Degree, Biomedical Engineering, Gpa - 3.97

Activities and Societies: UCI Pep Band, Biomedical Engineering Society, Alpha Eta Mu Beta Member, UCI Archery Club