Kent Lee Email and Phone Number

· Sole product manager for antibody discovery, the company's highest revenue business segment· Collaborated with executive leadership team to define 2022 product roadmap· Led the development and launch of the Antibody Discovery 4.0 product consisting of software, hardware, reagent, and training sub-products, enabling multimillion dollar revenues within 1 year

· Launched and owned roadmap for Downloads, Notes in Collections, and strings process for Edge: Win and Mac.· Launched features include: ClickOnce support, filetype filters, download blocks/reporting, Notepad Bing search.· Worked with partner teams to support accessibility, security, privacy, and enterprise policies.· Parsed user feedback, communicated with users, conducted user interviews, defined and analyzed metrics, created mockups, worked with 3 engineering teams, ran performance A/B tests, and created user-facing documentation to propose, prioritize, and launch new features.· Conducted user research to understand browser tab management painpoints and proposed solutions· Incubated 2 monetization features: created financial models, designed UX and mock-ups, defined requirements.· Created external developer-facing documentation for People app API.· Organized a monthly executive speaker series for early-in-career employees· Organized multiple events to showcase Microsoft for a group of 20+ Microsoft interns

· Raised $100k to develop drone technology· Launched a mobile app to diagnose lazy-eye and track disease progression.· Won prizes at 4 different hackathons and case competitions with 4 different teams.· Invited to pitch at BASES 100k Challenge (semi-finalist) and Bay Area Global Health Innovation Challenge (finalist).· Provided market research for Microsoft; business development and product improvement for Nomad. · Created an app to connect people with similar interests· Creating a device to ensure dropped iPhones land screen-side up.· Applied design thinking to study patient satisfaction at Stanford Hospital, redesigned the patient discharge process to triple the percent of PCP appointments, introduced wireless glucose monitors.· Generated a NLP model to predict Yelp restaurant ratings based on Yelp reviews with 38% higher accuracy vs 4 competitors and 60% validation accuracy overall. http://cs229.stanford.edu/proj2015/332_report.pdf· Engineering protein structures to function as molecular concentrators for medical diagnostics.

· Conducted competitive analysis to identify improvements to Kohl’s product recommendations on all digital channels.· Proposed a novel product recommendation strategy, created mock-ups of proposal, presented strategy to stakeholders, obtained approval for feature implementation, designed software requirements, and collaborated with engineering to launch a new feature.· User and A/B tested 4 algorithms to deploy best product recommendation algorithm.· Researched third-party APIs to identify potential business intelligence applications.· Prototyped LR, SVM, and NN learning models for weather-based recommendations in Python.

· Promoted within 6 months to manage 4 engineers to develop and maintain requirements, test cases, and automation software for bioinformatics software across all Illumina genome sequencing platforms.· Managed software release timelines, resource allocation, development scope, and automation strategy.· Led a pilot study and presented results to company VPs to secure funding for 3 more projects.· Organized a recruitment event with over 80 attendees to form a new university partnership.· Documented, tested, and released 25+ software versions in one year.

· Optimized, troubleshot, and designed experiments to improve NextSeq 500 performance and metrics from prototype to release stage· Led studies in the robustness of recipe, environment, genome contamination, and flowcell design. · Managed prototypes and coordinated subsystem engineer access and changes.· Planned and prioritized simultaneous sequencing experiments to optimize metrics while meeting development timelines. · Took initiative by teaching myself C# and programming a data analysis suite currently used across several development teams within Illumina

Vaccine Development and DiscoveryHere I worked simultaneously on two projects. The goal of the first project was to discover drug targets that generate more protective antibodies and longer-lived memory B cells in mice. The goal of the second project was to determine gene relationships regulating formation of T cells via gene expression manipulation in mice. My lab experience here included:· Running and data analysis of FACS, ELISA, and ELISPOT.· Automating ELISA analysis through Matlab script, significantly reducing analysis time. · Statistical analysis of data for presentation at lab meetings. · In vivo/in vitro Techniques: Mouse colony maintenance, treatment and immunization, blood draw, cell transfer, euthanasia, and necropsies. Tissue culturing, sterile field, transfection and retroviral transduction, leukocyte isolation and purification, cell line maintenance, live cell staining. · Other: Creating custom antibody stains, BSL-2 experience, and managing lab inventory. To examine factors that increased T-cell help during an immune response I:· Transduced T-cells with siRNA and transferred them into mice to silence specific protein expression. I then infected the mice with vaccinia to elicit an immune response, collected and processed spleens and lymph nodes, and conducted flow cytometry to determine the effect of the silenced protein on immune response.

Single-Molecule Polymer Biophysics - Rae Anderson LabThe goal of this project was to study the complex stress-strain relationships in solutions of entangled actin filaments using optical tweezers. As the principal researcher on this project, I was tasked to build this project from the ground up; on my first day, I walked into a vacant lab containing only a desk and an optical table.To build a force-measuring optical tweezers fluorescence microscope, I:· Learned to program and use NI LabView and NI Data Acquisition to acquire data and control piezoelectric stage, piezoelectric mirror, position sensing photodiode, and CMOS camera.· Assembled optical tweezers by aligning an IR laser parallel and concentrically through custom built beam expanders, collimators, periscopes, and attenuators on two planes.· Learned to script in Matlab to automate analog signal analysis by outlier exclusion, sinusoidal regression fitting, differentiation, and noise reduction to resolve piconewton forces and calibrate optical tweezers. After building optical tweezers, I:· Designed, optimized, and verified custom biochemical protocols to polymerize fluorescent F-actin, conjugate fluorescent F-actin to fluorescent microspheres, and coat microspheres with streptavidin.· Designed, conducted, and analyzed experiments probing the effects of oscillation amplitude and frequency, microsphere diameter, and actin concentration on resistive force