Diba Kaya

Diba Kaya Email and Phone Number

Cognitive & Behavioural Science | Sr. UX Researcher in AI | Former Google | Former Amazon @ JSTOR
Los Angeles, CA, US
Diba Kaya's Location
Los Angeles Metropolitan Area, United States, United States
About Diba Kaya

TL;DR10+ years of research & product experience across an array of sectors (healthcare, government, telecom, agency, big tech, non profit) and products (B2B, B2C, software, hardware) with extensive experience with cross-functional partners (product, data science, marketing, engineering, sales). I specialize in research and assumptions testing. I identify and translate user needs and business goals to evolve a product vision and business models.Plus, I'm a (cand.) licensed psychotherapist and use my clinical skills on top of my research skills to understand user mental models deeply and get team mindsets primed for collaboration. The strength of any team is how well connected the “shared brain” is. Think of me as your thought partner and guide for user-centric product decision-making so you make things that matter to have a viable business. At the end of the day, all of this just boils down to people. The more aware you become, the better product vision you create. Current foci: search and recommendation models, AI product principles and responsible genAI product development in edTechAre you a founder looking for idea validation and next steps? Book with me here —> https://calendly.com/dibakaya/start-up-consultingAre you a researcher looking for interview prep? Book with me here —> https://prepfully.com/coach/4ED8L Are you a recruiter? DM, and we can chat~

Diba Kaya's Current Company Details
JSTOR

Jstor

View
Cognitive & Behavioural Science | Sr. UX Researcher in AI | Former Google | Former Amazon
Los Angeles, CA, US
Website:
jstor.org
Employees:
75
Diba Kaya Work Experience Details
  • Jstor
    Jstor
    Los Angeles, Ca, Us
  • Jstor
    Sr. Ux Researcher
    Jstor Aug 2021 - Present
    New York, Ny, Us
    We are a nonprofit edTech with a mission to improve access to knowledge and education for people worldwide. Education is key to the well-being of individuals and society, and we work to make it more effective and affordable.We own JSTOR (aka the Google for academics) and other digital libraries because we believe in the power of knowledge to change the world for the better.I lead product & monetization research in the application of AI on the platform, search, recommendation models and teaching tools. I work closely with PMs, computer architects, data scientists, engineers, designers, business analysts and marketing. I lead research for an org by creating learning agendas and research roadmaps so that product is constantly grounded across the lifecycle. This includes market, foundational, evaluative and summative qual and quant research methods.I also work across the company on initiatives to scale research capabilities and inform a grounded perspective e.g., developing business, product and feature metrics, developing platform experimentation capabilities (i.e., A/B testing) and teaching user-centric product development. Experience with working with algo/ML teams
  • Amazon (Twitch)
    Sr. Ux Researcher
    Amazon (Twitch) Oct 2019 - Jul 2021
    Seattle, Wa, Us
    We're a start-up living inside Amazon as one of the largest live streaming video platforms in the world — We’re one of the highest sources of internet traffic in North America. Sr. Researcher in the Central Intelligence Org working with Data Science, Audience Measurement and Economist teams on foundational research questions and program development to drive company-wide product strategyI lead research in the Community Org (including product, policy and operations) which entails roadmapping and providing product direction for teams across the org as well as teaching teams the tools of first principles assumption testing for grounded product development. Work in: digital ethics, policy, online community development, online identity developmentExperience with working with C suite
  • Google
    Ux Research Lead - Ground Truth Panels
    Google Sep 2016 - Sep 2019
    Mountain View, Ca, Us
    Research Lead for the Panels Ground Truth team. Ground truth is the term that describes real word data used to train and test AI model outputs. Ground truth data is required for many AI applications, including automated driving and audio or speech recognition. I worked on determining what kind of real-world data and how it needs to be represented. Lots of ethnography, lots of living room studies, lots of contextual inquiry and developing recording tools to capture behaviour in real world environments. Working in: Data & Privacy, hardware & software Additional work (aka 20% projects):AIUX consultant - working in: AR, virtual assistants & recommendation systems Area 120 consultant - working in: new media platforms Sprint master - working in: equity & hiring Interests: start ups, affective computing, applications of blockchain & fintech, applications of machine learning in human centered design, AR, social impact & responsibilityExperience with working with global stakeholders and technical audiences
  • Defence Research And Development Canada | Recherche Et Développement Pour La Défense Canada
    Research Lead
    Defence Research And Development Canada | Recherche Et Développement Pour La Défense Canada 2015 - 2017
    Ottawa, Ontario, Ca
    Led research for the development of psychological aids for PTSD for reservists. Taught user-centric product development methods to military leaders and researchers.
  • Various - Startups To Fortune 500
    Ux Research Strategist
    Various - Startups To Fortune 500 2013 - 2017
    Broad-based experience in all aspects of UX research: formative and evaluative research across sectors (banking, teleco, healthcare, marketing and advertising), teaching UXR methods and design thinking workshops, product development lifecycles and prioritization frameworks, design thinking and methodsHighlights - developing the first e-transfer experience in Canadian banking with TD bank, teaching design thinking to military researchers, developing psychobiological measures of recidivism for parole hearings at Kingston Prison
  • Google
    Ux Researcher
    Google 2014 - 2015
    Mountain View, Ca, Us
    Worked as an intern on Google Drive, conducting user interviews with students at universities to drive user understanding and adoption of Google Drive
  • University Of Toronto
    Associate Researcher - Forensic Neuropsychology Lab
    University Of Toronto Sep 2011 - Aug 2013
    Toronto, Ontario, Ca
    Helped develop a predictive psychobiological model of decision making under Dr. David Nussbaum, used to support parole hearing decisions to predict impulse control. Conducted research in Pinewoods Addictions Clinic and Kingston PenitentiaryResearch focus - sub-clinical psychopathic decision-making models (I.e., the decision-making of people with psychopathic tendencies)
  • Southlake Regional Health Centre
    Research Associate - Department Of Psychiatry
    Southlake Regional Health Centre Jan 2011 - Dec 2011
    Newmarket, Ontario, Ca
    Worked in the Child and adolescent mental health department with the Disruptive Behaviours Program. Supported intake assessment & program development by conducting ethnographic research & counselor interviews and offering program improvement recommendations."The Disruptive Behaviours Program is an out-patient program that serves children and adolescents between six and 18 years of age living in York Region. Types of problems addressed include moderate to severe disruptive behaviours, oppositional defiance, explosiveness, and early conduct problems. Services provided are short-term, strength-based and solution-focused. Treatment options include consultative assessment, pharmacotherapy, and brief intensive psychosocial treatment."

Diba Kaya Skills

Research Data Analysis Statistics User Experience Qualitative Research Spss Project Management Usability Testing Data Collection Teaching Interaction Design Analysis User Centered Design Report Writing Experimental Design Html Quantitative Research Css Ethnography Information Architecture Omnigraffle R Wireframes Human Computer Interaction

Diba Kaya Education Details

  • University Of Toronto
    University Of Toronto
    Industrial Engineering (Human Factors) & Computer Science (Human Computer Interaction)
  • University Of Toronto
    University Of Toronto
    Specialist Cognitive & Behavioural Psychology
  • California Southern University
    California Southern University
    Counseling Psychology

Frequently Asked Questions about Diba Kaya

What company does Diba Kaya work for?

Diba Kaya works for Jstor

What is Diba Kaya's role at the current company?

Diba Kaya's current role is Cognitive & Behavioural Science | Sr. UX Researcher in AI | Former Google | Former Amazon.

What is Diba Kaya's email address?

Diba Kaya's email address is dk****@****zon.com

What is Diba Kaya's direct phone number?

Diba Kaya's direct phone number is +166925*****

What schools did Diba Kaya attend?

Diba Kaya attended University Of Toronto, University Of Toronto, California Southern University.

What are some of Diba Kaya's interests?

Diba Kaya has interest in Telecommunications, Marketing, Service Design, Product Management, Product Design, Industrial Design, Branding.

What skills is Diba Kaya known for?

Diba Kaya has skills like Research, Data Analysis, Statistics, User Experience, Qualitative Research, Spss, Project Management, Usability Testing, Data Collection, Teaching, Interaction Design, Analysis.

Who are Diba Kaya's colleagues?

Diba Kaya's colleagues are Tom Quigley, Javanica Curry, Dawn Tomassi, George Orwell, Usha Gondipalli, Lennyfarr Wills, Serhio Ramos.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.