Diba Kaya Email & Phone Number
@ithaka.org
3 phones found area 669, 650, and 416
LinkedIn matched
Who is Diba Kaya? Overview
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Diba Kaya is listed as Cognitive & Behavioural Science | Sr. UX Researcher in AI | Former Google | Former Amazon at JSTOR, a with 75 employees, based in Los Angeles Metropolitan Area, United States. AeroLeads shows a work email signal at ithaka.org, phone signal with area code 669, 650, 416, and a matched LinkedIn profile for Diba Kaya.
Diba Kaya previously worked as Sr. UX Researcher at Jstor and Sr. UX Researcher at Amazon (Twitch). Diba Kaya holds Master Of Science - Ms, Industrial Engineering (Human Factors) & Computer Science (Human Computer Interaction) from University Of Toronto.
Email format at JSTOR
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AeroLeads found 1 current-domain work email signal for Diba Kaya. Compare company email patterns before reaching out.
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~
Listed skills include Research, Data Analysis, Statistics, User Experience, and 20 others.
Diba Kaya's current company
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Diba Kaya work experience
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Sr. Ux Researcher
CurrentWe 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
Sr. Ux Researcher
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
Ux Research Lead - Ground Truth Panels
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
Research Lead
Led research for the development of psychological aids for PTSD for reservists. Taught user-centric product development methods to military leaders and researchers.
Ux Research Strategist
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
Ux Researcher
Worked as an intern on Google Drive, conducting user interviews with students at universities to drive user understanding and adoption of Google Drive
Associate Researcher - Forensic Neuropsychology Lab
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)
Research Associate - Department Of Psychiatry
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."
Colleagues at JSTOR
Other employees you can reach at jstor.org. View company contacts for 75 employees →
John Smith
Colleague at JstorGreater Cheshire West And Chester Area, United Kingdom
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May Wang
Colleague at JstorNew York, United States
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Lauren Lissaris
Colleague at JstorPrinceton, New Jersey, United States
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Jakki Jacqueline Kerr
Colleague at JstorPrinceton, New Jersey, United States
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Tom Quigley
Colleague at JstorNew York, United States
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Asmaa Sadaoui, Mba
Colleague at JstorNew York, United States
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Syefriyeni Syefriyeni
Colleague at JstorPalembang, South Sumatra, Indonesia
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Hector Nazario
Colleague at JstorNew York City Metropolitan Area, United States
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Builder Universal
Colleague at JstorHouston, Texas, United States
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AJ
Anastasia J Parker
Colleague at JstorTunis, Tunisia
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Diba Kaya education
Master Of Science - Ms, Industrial Engineering (Human Factors) & Computer Science (Human Computer Interaction)
Bachelor Of Science - Bs, Research Track, Specialist Cognitive & Behavioural Psychology
Master Of Arts - Ma, Counseling Psychology
Frequently asked questions about Diba Kaya
Quick answers generated from the profile data available on this page.
What company does Diba Kaya work for?
Diba Kaya works for JSTOR.
What is Diba Kaya's role at JSTOR?
Diba Kaya is listed as Cognitive & Behavioural Science | Sr. UX Researcher in AI | Former Google | Former Amazon at JSTOR.
What is Diba Kaya's email address?
AeroLeads has found 1 work email signal at @ithaka.org for Diba Kaya at JSTOR.
What is Diba Kaya's phone number?
AeroLeads has found 3 phone signal(s) with area code 669, 650, 416 for Diba Kaya at JSTOR.
Where is Diba Kaya based?
Diba Kaya is based in Los Angeles Metropolitan Area, United States while working with JSTOR.
What companies has Diba Kaya worked for?
Diba Kaya has worked for Jstor, Amazon (Twitch), Google, Defence Research And Development Canada | Recherche Et Développement Pour La Défense Canada, and Various - Startups To Fortune 500.
Who are Diba Kaya's colleagues at JSTOR?
Diba Kaya's colleagues at JSTOR include John Smith, May Wang, Lauren Lissaris, Jakki Jacqueline Kerr, and Tom Quigley.
How can I contact Diba Kaya?
You can use AeroLeads to view verified contact signals for Diba Kaya at JSTOR, including work email, phone, and LinkedIn data when available.
What schools did Diba Kaya attend?
Diba Kaya holds Master Of Science - Ms, Industrial Engineering (Human Factors) & Computer Science (Human Computer Interaction) from University Of Toronto.
What skills is Diba Kaya known for?
Diba Kaya is listed with skills including Research, Data Analysis, Statistics, User Experience, Qualitative Research, Spss, Project Management, and Usability Testing.
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