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I thrive when I build cool technology that makes a difference together with a competent and respectful team. I’m passionate that with the right tooling and culture, quality and velocity are compatible.I enjoy collaborating with colleagues from science, engineering, and business backgrounds, understanding the business and product challenges, validating/challenging assumptions, and letting the full context inform technology designs and tradeoffs.I have a solid background in distributed systems, databases, index structures, algorithms, and data science, but I am an engineer at heart, motivated by building real systems that can manage the complexity and be robust to the curve balls thrown by large, real-world workloads.
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Principal Software EngineerVivodyne Jan 2024 - PresentPhiladelphia, Pennsylvania, Us -
Principal Software EngineerResilience Jul 2021 - Dec 2023San Diego, Ca, UsExtracted data from many different systems and sources (some of them GxP) and made them available to internal and external data consumers. Designed and built a unified data mesh for operational and analytical use cases (system integrations and reporting), allowing owners who understand the source domain of the data to design data products with consumers and use cases in mind.Created a process ("continuous validation") that let us build validated software with velocity. Our team consequently shipped and iterated on a high-criticality system that handled drug manufacturing QC lab results while meeting all the FDA compliance requirements. -
Software EngineerBookbub Jan 2019 - Jul 2021Cambridge, Ma, UsI rewrote BookBub’s ad selection tech, replacing a complex, slow, and inflexible Java codebase with a Clojure-based solution that brings together user interests, targeting rules, and performance estimates at run time while maintaining low latency.I also evolved BookBub’s ad marketplace by iterative analysis and A/B testing. Improved estimates of click-through rate, removed unneeded complexity and unwarranted assumptions, and in general transformed a fickle black box into a stable, well-understood equilibrium. -
Lead Software EngineerYieldbot Jan 2015 - Dec 2018I rewrote Yieldbot’s ad matching tech, a low-latency, high-traffic, high-availability set of services that selects relevant ads for each pageview. Scaled the tech with the company’s explosive growth and changing needs. The code is mostly Clojure. Lots of interesting aspects: a large join that is materialized and shipped to the server clusters so that relevant ads can be found quickly; maintainable and observable logic for targeting rules; mmapable in-memory data structure for propagating click-through ratios and other statistics to be used by online machine learning; monitoring and alerting, infrastructure as code.I also optimized bidding and pricing for Yieldbot’s advertising network so as to maximize profits while meeting requirements for delivery, viewability, and targeting. Examples: linear programming to allocate expected inventory; dynamic explorations with feedback from bid acceptance rates to avoid overpaying; multi-timescale analysis to deal with volatility. Again, the code is mostly Clojure.
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Computational BiologistBroad Institute Of Mit And Harvard Jun 2007 - Jan 2015Cambridge, Ma, UsLarge-scale machine learning and other data-driven methods for scoring and mining complex and subtle phenotypes in image-based screens and other high-throughput experiments. Turned measurements of billions of individual cancer cells into computational profiles (“fingerprints”) that capture the biologically meaningful aspects of the cells’ appearance. Such profiles can be used to find similar genetic perturbations and/or drugs. Developed analysis methods that apply machine learning and data mining methods to large sets of complex, dirty, and poorly understood data. -
Graduate StudentUniversity Of California, Santa Barbara 2002 - 2007Santa Barbara, Ca, UsDeveloped algorithms for managing uncertainty in biological data and to obtain, search, and mine probabilistic values. Dissertation title: “Managing probabilistic data: toward data-driven biology” -
Software Developer (Summer Intern)Telenor Jul 2001 - Aug 2001Fornebu, NoParticipated in development of billing software in Common Lisp. -
ConsultantInitio It-Løsninger As 1998 - 2001Trondheim, NoCo-founded the company and served on the board from 1998 to 2000. Wrote user and account management software for an ISP. Planned corporate wide-area network with more than 40 locations. Set up networks and servers for ISPs and corporate customers. Provided customers with advice on network security. -
Software Developer (Summer Intern)Fast Search & Transfer, Oslo, Norway Jun 2000 - Aug 2000Participated in development of search engine software in C++, Python and C.
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System AdministratorNorwegian University Of Science And Technology (Ntnu) 1996 - 1999Trondheim, NoManaged the central Unix system for students, with 20,000 users.
Vebjorn Ljosa Skills
Vebjorn Ljosa Education Details
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Uc Santa BarbaraComputer Science -
Norwegian University Of Science And Technology (Ntnu)Computer Science
Frequently Asked Questions about Vebjorn Ljosa
What company does Vebjorn Ljosa work for?
Vebjorn Ljosa works for Vivodyne
What is Vebjorn Ljosa's role at the current company?
Vebjorn Ljosa's current role is Principal Software Engineer at Vivodyne.
What is Vebjorn Ljosa's email address?
Vebjorn Ljosa's email address is ve****@****osa.com
What is Vebjorn Ljosa's direct phone number?
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What schools did Vebjorn Ljosa attend?
Vebjorn Ljosa attended Uc Santa Barbara, Norwegian University Of Science And Technology (Ntnu).
What skills is Vebjorn Ljosa known for?
Vebjorn Ljosa has skills like Machine Learning, Bioinformatics, Data Mining, Python, Databases, Algorithms, Image Analysis, Computer Science, High Throughput Screening, Scientific Computing, Matlab, Dimensionality Reduction.
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