Doctor of Philosophy (Ph.D.) @
University of California, Los Angeles
Dr. Ries is an accomplished research scientist, system engineer, program manager, and business developer that has honed his expertise in scientific consulting and data analytics. Dr. Ries' expertise is in developing advanced imaging products incorporating cutting edge hardware with custom detection software incorporating data analytics to improve performance. Dr. Ries seamlessly interfaces with customers capturing funding opportunities
Dr. Ries is an accomplished research scientist, system engineer, program manager, and business developer that has honed his expertise in scientific consulting and data analytics. Dr. Ries' expertise is in developing advanced imaging products incorporating cutting edge hardware with custom detection software incorporating data analytics to improve performance. Dr. Ries seamlessly interfaces with customers capturing funding opportunities for cutting edge imaging systems (proposal writing, networking, expanding current contracts, ...). Dr. Ries manages staff, defines tasks, and ensures delivery (software and hardware) in a timely manner to the customer.
Dr. Ries has:
-> 10 years of experience developing data analytic algorithms to gain key insights into a multitude of problems ranging from magnetic earthquake detection to airborne optical imaging. Utilized machine learning theory to enhance detection algorithms drastically reducing false alarms by elucidating underlying physical mechanisms.
-> Certificate in Statistical Learning in R from Stanford Open Course which taught logistic regression, multi-variable regression, tree based approaches, unsupervised learning and other techniques.
-> Used clustering analysis to create a registration algorithm for 3D point cloud data collected from a LiDAR imaging system.
-> Achieved outstanding turnaround of demoralized software team to harmonious, committed, productive team consistently meeting all deadlines and proactively identifying strategies to increase performance and cut expenditure.
-> Strong history of vital project management including all PMMW product lines. Developed multi-year product roadmap outlining areas where key technological advances were required. Conducted market research and interfaced with customers to enhance existing systems delivering ground breaking product to DOD.
-> Recipient of 4 Professional Achievement Awards for outstanding achievement in ensuring success of critical projects to Arete.
Chief Engineer @ I am the Chief Engineer on the Daqri Smart Helmet leading a multi-dimensional team consisting of both hardware and software engineers. The DSH is a world class augmented reality helmet that will change the future of work. From June 2015 to Present (7 months) Greater Los Angeles AreaPrincipal Data Scientist / Founder @ Dr. Ries founded The DataPhile Group to help growing business's increase their profitability by engineering personalized data analytics to solve complex problems involving recommendation engines, video game analytics, scoring metrics, advertising analytics, retention rates, and to help companies with data visualizations to improve storytelling.
• Developing the data analytics platform for a mobile app that connects your social media presence to serve content that you would be interested in and attempt to eliminate unwanted advertising. Think of that bar at the bottom of articles you might have read in CNN or ESPN and now instead of ads for diets, celebrities and things that are of no interest there is actual content that you want to explore further. The data analytics platform seamlessly connects analytics modules in Python and R, replacing Tableau, to interact with an HBASE data warehouse that interfaces with SOLR and feeds a recommendation engine serving the content to the users.
• Developing a SHINY interface to an HBASE data warehouse that will allow real-time updating of key data indicators
• Working with a multitude of small startups creating data analytics products which have enhanced VC pitches and led to seedling funding
• Developed a k-means clustering algorithm for an online streaming video game company that improved the relevant content the recommendations served to players. This algorithm was delivered to the company and they are incorporating it into their experimental branch for testing
• Validated the theory and algorithm implementation for an optical gun detection algorithm using a unique filtering technique that runs in near real time. Developed the testing methodology and conducted experiments allowing for real-world testing From February 2014 to Present (1 year 11 months) Greater Los Angeles AreaSenior Systems Engineer @ Leading teams of engineers and scientists to develop next generation imaging systems to help redefine infrared imaging in the 21st century. Manage technical aspects, risk profile, compliance/verification matrix, and trade studies for space flight and ground based IR imaging systems that consist of focal plane detectors, cables, packaging, electronics and test. Actively involved in developing proposals for custom imaging systems and delivering high performance detector arrays on time and within budget.
• Technical lead developing the next generation compact camera electronics based around a Zynq FPGA capable of controlling a host of next generation digital detectors. An important aspect of the project is to miniaturize the electronics while still designing the system for manufacturability
• Technical lead developing a high speed ROIC for incorporation into FTIR Microscopes. Conducted trade studies to develop specifications/requirements for the ROIC that push current technology boundaries
• Conducting trade studies into 3D Wafer stacking to develop a technology roadmap for future Vis/IR imaging modalities
• Managing several hyperspectral programs to grow, process, test and deliver CHROMA imaging systems to Teledyne customers
• Managed and delivered H2RG space based imaging systems to customer on extremely tight deadline. Overcame a variety of impediments by actively managing the program using AGILE methodologies. From June 2014 to May 2015 (1 year) Senior Scientist Program Manager @ At Arete, Dr. Ries has worked on advanced image processing algorithms (registration, mapping, data analytics, target detection and tracking), developed optical sensor performance models taking into account atmospheric effects on sensor performance, created data simulators to validate sensor models and verify system performance, developed advanced imaging concepts using computational imaging techniques. Dr. Ries was the project lead for a variety of different projects developing the research plan, staffing, goals, risk mitigation and ensuring that the results are delivered on time and clearly to our customers. These projects are focused on advanced imaging concepts enhancing current state of the art imaging detectors. Dr. Ries has been developing advanced computational imaging techniques that push the boundary of current technology to enhance sensor systems in degraded visual environments. Highlights:
• Developed a passive millimeter wave imaging program that has received over $2 Million in government funding with long term promise. Pioneering advanced sparse array sensor design for quasi-optical imaging modalities using computational imaging techniques. Lead a team that developed software to simulate the sensor system and generate simulated data;
• Reinvigorated a multi-million dollar high profile, underperforming C++ based optical imaging detection project by streamlining staff, adding specialized talent, developed and implemented project tasks and schedules to achieve program success. Company was able to deliver important detection code and analysis results to the customer;
• Proposed, received and managed a contract from the Department of Homeland Security to develop an optical imaging system to detect swimmers in the water that have been lost at sea;
• Developed and validated advanced optical sensor models in IDL;
• As HR tech lead, responsible for a group of hiring managers to evaluate potential candidates to fill the company’s needs. From December 2008 to May 2014 (5 years 6 months) Staff Scientist @ As a staff scientist at Arete, I developed graphical user interfaces (GUI) for rapid analysis of large data sets to verify that our experimental systems were working properly. I developed image analysis tools to estimate system performance. I worked on a variety of IR&D projects developing image processing tools and techniques for UAV's and UUV's.
• Analyzed a large set of earthquake data to create a predictive model for magnetic earthquake detection from space.
• Developed and validated advanced optical sensor models in IDL;
• Developed graphical user interefaces (GUI) for data analysis and validation of large data sets in IDL; From June 2004 to December 2008 (4 years 7 months) Graduate student @ At Caltech, I helped develop a proof of concept nanowire biosensor that will lead to advanced medical diagnostics using smaller sample volumes and lower concentrations to detect antigens of interest, such as PSA. This prototype has helped the Heath group gain additional funding for cancer diagnostics (using the foundation that I helped develop).
• Developed a novel modality for sensing biological molecules using nanowire biosensors on silicon;
• Prepared different types of thin film hydrocarbon samples utilizing two different techniques to chemically attach organic molecules to a silicon (111, 100, and SIMOX) surface;
• Analyzed the quality of the prepared samples using an Omicron low temperature STM and a Digital Instruments AFM/STM;
• Performed real-time confocal microscopy of lipid rafts and their involvement with different types of receptors in the phagocytosis process. From January 2003 to June 2004 (1 year 6 months) Graduate Researcher @ Collaborated with a small team of scientist to design, build and test a second harmonic, two photon fluorescent microscope utilizing a femtosecond laser. Prior to that work, synthesized superconducting lead quantum dots and investigated their properties to determine their capacity to be used as QUBITS.
• Conducted second harmomic generation/two photon fluorescence microscopy on a large variety of samples ranging from polymer wrapped nanotubes to lipid bilayers;
• Calibrated, maintained, and operated a Spectra Physics Tsunami laser system;
• Fabricated the sample holders using a microfab clean room facility. Capable of running a variety of silicon processing machines such as an E-Beam writer, SEM, E-Beam evaporator, RIE, DRIE, and various other processing equipment;
• Used LabView, Igor, MatLab, and Origin as data analysis tools for the different samples;
• Investigated the superconducting properties of lead nanoparticles using a SQUID magnetometer;
• Conducted and optimized the synthesis of the lead nanoparticles. From June 1999 to January 2003 (3 years 8 months) Greater Los Angeles Area
Special Student (Finished my Ph.D. at Caltech), BioPhysical Chemistry @ California Institute of Technology From 2002 to 2004 Doctor of Philosophy (Ph.D.), Biophysical Chemistry @ University of California, Los Angeles From 1999 to 2004 B.A., Physics and Chemistry @ University of San Diego From 1995 to 1999 Ryan Ries is skilled in: Sensors, Image Processing, Optics, Physics, Scientific Computing, Simulations, Signal Processing, Fortran, Algorithms, Algorithm Development, IDL, Data Analysis, Matlab, Science, Numerical Analysis
Looking for a different
Get an email address for anyone on LinkedIn with the ContactOut Chrome extension