Join   Log In
  • Startup Jobs
  • Recruit
  • Discover
  • Blog
    Daniel Korenblum

    Daniel Korenblum

    The biggest and rewarding challenges in biotechnology require cross-discipline thinking. That's where I excel, creatively navigating research & development.

    Machine Learning Engineer San Francisco Stanford University '09
    scholar.google.com
    There was a problem loading your content.
     
    Experience
    Encephalogix
    Encephalogix
    CTO, Cofounder 2022 - Present (about 4 years)
    Our "Waveform Shape Analysis" (WSA) technology defines a new category of EEG biomarkers: distributional biomarkers. Our EEG biomarker identification platform leverages representation... more learning, a type of machine learning, to identify strong biological signals in EEG data that are associated with neurodegenerative pathology. Encephalogix: Opening a Window to Brain Health.
    nanobio.md
    nanobio.md
    Founder 2015 - Present (over 11 years)
    Advancing nanomedicine by developing new methods and infrastructure for more rapid prototyping and commercialization of nano biomedical products, such as new types of sensors.... more Our long term strategy aims to improve patient care by commercializing nanotechnology and biomedicine more efficiently.
    Bayes Impact
    Bayes Impact
    Data Scientist 2014 - 2015 (11 months)
    - Developing precise quantitative procedures for diagnosing neurological diseases with Drs. Gourraud and Graves (UCSF)
    - Precision medical methods for diagnosing neurological... more disease using wearable sensors
    - Human motion data analysis (signal processing, vector time series)
    - Grant applications funded
    - Initial support from Bayes Impact
    Science and Technology International
    Science and Technology International
    Software Engineer 2006 - 2008 (about 2 years)
    - Algorithm development, nonlinear optimization, image processing, DSP programming
    - Applications include non-invasive cervical and colon cancer detection and diagnosis
    -... more Developed Cervical Medical DeviceĀ® digital colposcope (FDA approved)
    Zogenix
    Zogenix
    Data Scientist 2018 - 2021 (about 3 years)
    - Completely unbiased in terms of statistical assumptions
    - Superior to existing methods in terms of speed and performance
    - Applications: diagnostics, drug development,... more brain-human interfaces
    Otherlab
    Otherlab
    Machine Learning Engineer 2017 - 2018 (over 1 year)
    Human motion data analysis for data-driven intentional control algorithm development with applications to lightweight fabric exoskeletons (e.g. TALOS)
    Genia Technologies
    Genia Technologies
    Computational Engineer 2009 - 2014 (over 4 years)
    - First engineer hired. Joined when the company was self-funded
    - Genia was acquired by Roche in June of 2014 for > $125M
    - One-man team, handled all algorithm development,... more software engineering, and data analysis tasks from 2009 until the exit in 2014
    - Developed key methods used for completing Series A milestones
    - Applications include personalized medicine, biophysics, and single-molecule assays and sensors
    Palo Alto Institute for Research and Education
    Palo Alto Institute for Research and Education
    Biomedical Engineer 2009 (5 months)
    - biomedical image processing (ultrasound videos), biomechanics
    - Working with Chris Constantinou (Urology)
    Stanford University
    Stanford University
    Research Assistant 2008 - 2009 (about 1 year)
    - Computer-aided diagnosis (CAD), biomedical image processing (CT/MR), web development
    - Working with Sandy Napel, Chris Beaulieu, and Daniel Rubin (Radiology)
    - Developed... more a system for linking structured radiology annotations with CT and MRI images
    - Demonstrated high sensitivity and specificity of diagnostic ability of semantic features (AUC >.9)
    Research Assistant 2004 - 2005 (over 1 year)
    - Automated Diff. Equation model generation, Normal Mode Analysis of 3D protein structures
    - Worked with Pat Langley, Institute for the Study of Learning; and James Trudell,... more Anesthesiology department, resp.
    - Interfaced Python with C; used CHARMM and Insight II software, respectively
    Gene Network Sciences
    Gene Network Sciences
    Resesarch Assistant 2003 - 2004 (about 1 year)
    - Primary responsibilities include design and development of Java bioinformatics application
    - Developed and tested new bioinformatics tool integration software
    Founder
     
    Employee
    Stanford University, Genia Technologies, Bayes Impact, Science and Technology International, Gene Network Sciences, Palo Alto Institute for Research and Education, Otherlab, Zogenix, nanobio.md, Encephalogix
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    Smarter nanomedical engineering
    We remove data analysis bottlenecks for biotech startups.
    Biotech startups have huge data analysis bottlenecks leading to higher burnout risks.

    Many new nanomedical and theranostic products never reach the… · More market, stifling industrial growth and investment.

    Our solution is great design at scale.

    Rapidly deploying fully customized software with user-friendly interfaces and interactive visualizations using proprietary engineering approaches removes data analysis bottlenecks and reduces the risk of burnout for startups.
     
    Education
     
    About
    Achievements

    I've had key roles in developing several new biotechnology products, from nanopore DNA sequencing chips to cameras for cervical cancer detection, as well as new unsupervised machine learning algorithms. As an inventor on a number of patents, and co-author of several high-impact journal articles, my R&D experience spans the gamut of biotechnology. Most recently with Encephalogix, I have invented Waveform Shape Analysis, a new distributional biomarker identification method for EEG data, a project received >$500K in funding to date.

    Describe the most impressive thing you've done.
    Skills
    Machine Learning Algorithms Bioinformatics Neuroscience Neurophysiology Electrophysiology Electrochemistry Molecular Biology Biochemistry Biophysics Protein Engineering Statistical Modeling Data Analysis Numerical Analysis Linear Algebra Robotics Wearable Exoskeleton Control Systems Simulations Matlab C Javascript Ruby on Rails Python Numpy/Scipy/Pandas/Scikit-learn HTML5 & CSS3 Ubuntu Perl Bash Image Processing Stochastic Modeling Differential Equations
    Help · Blog · Twitter · Terms · Privacy Policy & Cookies · Unsubscribe · Cookie Preferences · Press · Profile not verified