Devi Ramanan
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Devi Ramanan Email & Phone Number

Managing Director (Partner) - Life Sciences, Health - Machine Learning and Data Science at Accenture
Location: San Francisco Bay Area, United States 19 work roles 5 schools
2 work emails found @ayasdi.com 2 phones found area 650 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Work email d****@ayasdi.com
Direct phone (650) ***-****
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Current company
Role
Managing Director (Partner) - Life Sciences, Health - Machine Learning and Data Science
Location
San Francisco Bay Area, United States
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Devi Ramanan is listed as Managing Director (Partner) - Life Sciences, Health - Machine Learning and Data Science at Accenture, a with 636296 employees, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at ayasdi.com, phone signal with area code 650, and a matched LinkedIn profile for Devi Ramanan.

Devi Ramanan previously worked as SVP, Data Science & Analytics (2021-2022), Advisor (2022-present) at Carbon Health and Risk Prediction, Algorithms, Devices - Technical Advisory Group at Bill & Melinda Gates Foundation. Devi Ramanan holds Master Of Business Administration (Mba), Double Major: Health & Financial Engineering (Minor: Market Research) from The Wharton School.

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*@ayasdi.com
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About Devi Ramanan

My background is in Health Tech/Cloud with deep experience in Data Science/ML (Carbon Health, Mirai Health.ai, Ayasdi - Stanford mathematics spinoff focusing on Health & Financial Services, Genentech), Health Economics Outcomes Research/Genomics (Invitae, PacBio, Genentech), Hardware (PacBio), Enterprise Software/SaaS (Ayasdi, Accenture) & Financial Services (UBS, Ayasdi) at both early-stage startups (Carbon Health, Mirai Health.ai, Ayasdi, Invitae, PacBio) and large companies (Accenture, Genentech, UBS). Was always on the Product/Growth side driving new innovative offerings and/or collaborations with customers - both B2B & B2C side. Finally, I am a technical, hands-on problem solver who ensures & empowers my teams/customers to succeed.Also, I am on the Advisory Board of growth companies in the data science & diagnostics space: data.world (GitHub for data science), Altoida (ML prediction in Alzheimer's), NeoLight, GenoTwin & ContextMatters (reimbursement data analytics).https://medium.com/@devi_ramanan******************************************************https://towardsdatascience.com/why-is-ayasdi-topological-data-analyses-the-source-of-so-many-breakthroughs-in-science-5fdc6b8a6f57UBIOPRED/NHS - Asthma:https://towardsdatascience.com/artificial-intelligence-aids-medical-researchers-in-uncovering-genetic-signature-for-severe-asthma-f8125b926915Genomics: https://towardsdatascience.com/the-shape-of-the-genome-going-beyond-the-double-helix-with-topological-data-analysis-29021b860ebcStanford - Predicting Disease Recovery:https://towardsdatascience.com/understanding-the-disease-cycle-groundbreaking-research-from-stanford-using-tda-81cfb595d605Mt. Sinai - Diabetes:https://towardsdatascience.com/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity-91838f2ccf74UCSF - Traumatic Brain Injury:https://towardsdatascience.com/ucsf-scientists-use-artificial-intelligence-to-uncover-hallmarks-of-traumatic-brain-injury-a672ae75704aStowers - Protein Structure:https://medium.com/@devi_ramanan/stowers-scientists-use-artificial-intelligence-to-uncover-new-relationships-and-organizational-2c048ad94251Syrian Polio Vaccination Analyses:https://medium.com/@devi_ramanan/why-collaborations-matter-to-ayasdi-756036a259eeUpgrade Capital - Macroeconomic Analyses:https://medium.com/@devi_ramanan/student-finds-shape-has-meaning-with-four-decades-of-macro-economic-data-b07df578197eBlogs link to the 100+ top pubs in Nature, Science, Cell: https://www.ayasdi.com/knowledge-center/?type=global-community-research

Listed skills include Leadership, Financial Valuation, Publications, Health Economics, and 49 others.

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Devi Ramanan's current company

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Accenture
Accenture
Managing Director (Partner) - Life Sciences, Health - Machine Learning and Data Science
California, United States
Website
Employees
636296
AeroLeads page
19 roles · 30 years

Devi Ramanan work experience

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Managing Director (Partner) - Life Sciences, Health - Machine Learning And Data Science

California, United States

Svp, Data Science & Analytics (2021-2022), Advisor (2022-Present)

Oakland, Ca, Us

Democratizing great healthcare for all with Machine Learning and Data Science. Grateful to be on this mission-driven team. We are hiring! If you also believe in our 4 core values, please ping us!

Advisory Board

Washington, District Of Columbia, Us

Predicting Alzheimer's Disease using AI/ML.

Advisory Board

Austin, Texas, Us

data.world (a) strives to build the most meaningful, collaborative and abundant data resource in the world in order to maximize data’s societal problem-solving utility, (b) advocates publicly for improving the adoption, usability, and proliferation of open data and linked data, and (c) serves as an accessible historical repository of the world’s data. https://data.world/deviramanan2016

Advisory Board

New York, Ny, Us

Genomics, artificial intelligence, and computational biology to address the limitations of traditional testing

Advisory Board

Scottsdale, Arizona, Us

NeoLight is a med-tech startup that develops empathy-driven and best-in-class technologies for preventable conditions occurring in newborn infants.

Vp - Data Science Machine Learning, Analytics, Data Engineering, Clinical Data Mgmt

Nashville, Tennessee, Us

Clover is a physician enablement company focused on seniors who have historically lacked access to affordable, high-quality healthcare. We aim to provide great care, in a sustainable way, by having a business model built around improving medical outcomes while lowering avoidable costs. We do this while taking a holistic approach to understanding the health needs and social risk factors of those under our care. This strategy is underpinned by our proprietary software platform, the Clover Assistant, which is designed to aggregate patient data from across the health ecosystem to support clinical decision-making by presenting physicians and other providers with real-time, personalized recommendations at the point of care.

Managing Director (Partner) - Health, Life Sciences, Devices - Machine Learning & Data Science

Dublin 2, Ie

Built & grew (P&L responsibility) Accenture West Market Unit’s Health practice (Providers, Payers, Biotech/Pharma, Research, etc) with machine learning & data science. Grateful to be part of the amazing Team that contributed to rolling out the State of CA Covid Vaccines in early 2021.

2020 - 2021 ~1 yr

Co-Founder & Ceo

My awesome Co-Founder and I worked together with our scientific advisors on a disruptive data science concept to improve characterizations of patients, diagnosis, risk, and subtype stratification in chronic diseases (asthma, diabetes, etc).

2019 - 2020 ~1 yr

Vp - Global Product & Collaborations - Ml & Data Science

Ayasdi

Fast Company's Most Innovative Companies - 2014, 2015Technology Pioneer WEF - 2015"Machine Intelligence Health" book, http://bit.ly/MIforHealthcare Built the Global Product Collaborations Program where our mission was to enable the best Key Opinion Leaders/Thought Leaders in Academia, Foundations, Non-Profits & Think-Tanks to use our software & Python SDK to solve the world's problems. We had active Collabs spanning several verticals: Financial Services, Health, Public Sector. i.e. Gates, IIF, NIH, Stanford, UCSF, Columbia, Mt. Sinai, etc. 100+ top pubs in Nature, Science, Cell: https://www.ayasdi.com/knowledge-center/?type=global-community-researchBlogs - https://medium.com/@devi_ramananhttps://towardsdatascience.com/why-is-ayasdi-topological-data-analyses-the-source-of-so-many-breakthroughs-in-science-5fdc6b8a6f57UBIOPRED/NHS - Asthma:https://towardsdatascience.com/artificial-intelligence-aids-medical-researchers-in-uncovering-genetic-signature-for-severe-asthma-f8125b926915Genomics:https://towardsdatascience.com/the-shape-of-the-genome-going-beyond-the-double-helix-with-topological-data-analysis-29021b860ebcStanford - Predicting Disease Recovery:https://towardsdatascience.com/understanding-the-disease-cycle-groundbreaking-research-from-stanford-using-tda-81cfb595d605Mt. Sinai - Diabetes:https://towardsdatascience.com/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity-91838f2ccf74UCSF - TBI:https://towardsdatascience.com/ucsf-scientists-use-artificial-intelligence-to-uncover-hallmarks-of-traumatic-brain-injury-a672ae75704aStowers - Protein Structure:https://medium.com/@devi_ramanan/stowers-scientists-use-artificial-intelligence-to-uncover-new-relationships-and-organizational-2c048ad94251Syrian Polio Vaccination:https://medium.com/@devi_ramanan/why-collaborations-matter-to-ayasdi-756036a259eeMacroeconomics:https://www.ayasdi.com/student-finds-shape-meaning-four-decades-economic-data/

2014 - 2019 ~5 yrs

Advisory Board

New York, Us

Introduced company to 3 major West Coast customers, leading to multi-million dollar deals. Context Matters is leading the charge to a truly data-driven, drug-development process. Their software application gives customers instant and constant access to data and analytics in an easy-to-use and powerful web-based interface. Data is curated, standardized, and visualized, allowing customers to track and comprehend the increasingly complex global reimbursement environment. This gives customers a strategic advantage in their decision-making, so they can focus on the key drivers of success. Acquired by Decision Resources Group

2013 - 2017 ~4 yrs

Senior Director - Product & Customer Success

San Francisco, Ca, Us

Managed & completed various initiatives, including but not limited to: product launches (Program Lead of Commercial Launch, a large cross functional team), pricing/access, reimbursement (collaboration with external partner), scientific presence at congresses (submitted abstracts & created poster for ESMO 2013), product technical brochures, customer success/client services processes/FAQs (interim Customer Success Lead), advocacy outreach campaigns, defined clinical use cases, created sales pitch decks, key competitive analyses, health economics outcomes research/payer related activities, launch work-planning, technical/validation whitepapers, etc. Responsible for hiring, training, coaching, developing & empowering talentJ. Hagenkord et al, A multi-use low-cost germline genetic test for over 211 genes, including several genes affecting cancer diagnosis and treatment, ESMO 2013 (drafted/submitted abstract & poster)

2012 - 2013 ~1 yr

Head - Product - Sample Prep

Menlo Park, Ca, Us

Product Head for 2 key Product (chemistry) Launches. Led cross-functional teams to define requirements/workflows for R&D, train field, partners & customers. Also managed post launch workflows. Targeted Sequencing Application Lead: SNP Validation & Detection, Splice Variants, cDNA, Haplotying (HLA), Rare Variants, etc. Defined detailed use cases and end-to-end workflow requirements from Sample Prep to Bioinformatics analyses. Launched a key Nature publication with R&D partners, including detailed Computational Biology & Sample Prep (FAQs, slides, etc for sales/customers). Led key product initiatives/collaborations with partners and customers alike, including defining requirements & launching new kits & controls. Led & implemented an online community for partners/collaborators to share recent R&D protocols, techniques & ideas on an online discussion forum.

2011 - 2012 ~1 yr

Group Product Manager - Heor/Product

South San Francisco, California, Us

Worked on 4 large product launches: Lucentis (AMD), Avastin (GBM & RCC), Vismodegib (aBCC)Commercialization/Operations: Health Economics & Outcomes Research (HEOR), Comparative Effectiveness Research (CER)In cross-functional teams optimized development decisions & commercialization of molecules by providing economic assessments (pharmacoeconomic modeling) & related evidence throughout the life cycle of molecules. This information complements data on efficacy/safety to demonstrate the evidence-based value proposition for molecules in the context of competitive environments. Worked on Avastin GBM + RCC launches. Most recently worked on niche skin cancer launch (advanced basal cell carcinoma), doing primary market research, with publications at scientific congresses.Product Development: Strategic Decision AnalysisKey Core Team Rep on 7 Immunology Development & Post Launch molecules (Lucentis, Xolair, THA (Curis) & 4 pipeline teams). For 2 large Business Development deals, developed unique valuation methodology & models. Developed novel financial forecasting valuation models (DCF/NPV) with Monte Carlo simulations. Worked on Lucentis (ophthalmology) launch. Drove Strategic Initiatives & Special Projects with Senior Mgmt (i.e. Life Cycle Planning, Long Range Planning, Device Strategy, etc.)

2004 - 2011 ~7 yrs

Publications While At Genentech

South San Francisco, California, Us

M. Walker, L. Schwartzberg, D. Chen, D. Ramanan, A. Houts, C. Reyes, Treatment Patterns and Clinical Characteristics of Patients with Advanced Basal Cell Carcinoma (aBCC) in the Community Oncology Setting, Journal of Cancer Therapy 2013M. Walker, L. Schwartzberg, D. Chen, D. Ramanan, Treatment Patterns and Clinical Characteristics of Patients with Advanced Basal Cell Carcinoma (aBCC) in the Community Oncology Setting, American Association of Dermatology 2012S. Satram-Hoang, D. Ramanan, L. Lee, S. Yu, C. Reyes, E. McKenna, Comparative effectiveness of treatment options in elderly patients with colon cancer receiving adjuvant chemotherapy, ASCO Gastrointestinal (GI) Cancers 2012S. Satram-Hoang, D. Ramanan, L. Lee, S. Yu, C. Reyes, E. McKenna, Comparative effectiveness of chemotherapy in elderly patients with metastatic colorectal cancer., ASCO GI 2012A.D. Joshi, M. Forsyth, D. Fryefield, W. Lopez, D.M. Chen, D.D. Ramanan, Patient Characteristics and Treatment Patterns in Advanced Basal Cell Carcinoma (aBCC) in Oncology Community Setting, European Society of Medical Oncology (ESMO) 2011S.D. Byfield, D.M. Chen, D.D. Ramanan, Cost and Patterns of Care among Patients with Advanced Non-Melanoma Skin Cancer, American Society of Clinical Oncology (ASCO) 2011A.D. Joshi, M. Forsyth, D. Fryefield, W. Lopez, D.M. Chen, D.D. Ramanan, Demographic and Treatment Characteristics for Advanced Basal Cell Carcinoma (aBCC) in an Oncology Outpatient Setting, ASCO 2011

2004 - 2011 ~7 yrs

Summer Intern/Associate - Biotechnology Equity Research

Ubs

Zurich, Ch

Summer Associate, Institutional Investor (top) Ranked Biotech Team (Analysts: Meirav Chovav, Derik De Bruin)Evaluated & initiated coverage of 2 life sciences tools companies, using extensive financial modeling & completing detailed 40-page initiation reports. Presented results to Global Product Manager, Head of Global Equity Research & other C-level executives in the firm. Interviewed C-level executives of the 2 companies & discussed growth strategies/issues to develop valuation & research report

2003 - 2003

Senior Consultant - Programming/Client Services

Dublin 2, Ie

Strategic Global Technology Management ConsultingProgressed quickly from an individual contributor to managing cross-functional international teams on 8 different International/US-based clients. Worked in varying fields of electronics & high tech, communications, resources/energy, and health. Always received highest performance ratings internally & from clients. Always finished under budget & on time. Frequently presented strategic deliverables to several stakeholders, including client senior executives. Programming skills include C, C++, Java, Perl, UNIX, SQL, Visual Basic, XML, SAP Basis/ABAP, HTML, Interface Architecture, and Novient.

1997 - 2002 ~5 yrs
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Colleagues at Accenture

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5 education records

Devi Ramanan education

Master Of Business Administration (Mba), Double Major: Health & Financial Engineering (Minor: Market Research)

The Wharton School

Began Phd (Full University Fellowship), Left With Ms, Brain And Cognitive Science (Aka Biochemistry/Biophysics)

The Johns Hopkins University/University Of Rochester

Education record

Coursera

Bachelor Of Science (Bs), Majors: Electrical Engineering/Physical Chemistry; Minor: Biology

Rochester Institute Of Technology

Education record

Sutherland (Pittsford) High School
FAQ

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What company does Devi Ramanan work for?

Devi Ramanan works for Accenture.

What is Devi Ramanan's role at Accenture?

Devi Ramanan is listed as Managing Director (Partner) - Life Sciences, Health - Machine Learning and Data Science at Accenture.

What is Devi Ramanan's email address?

AeroLeads has found 2 work email signals at @ayasdi.com for Devi Ramanan at Accenture.

What is Devi Ramanan's phone number?

AeroLeads has found 2 phone signal(s) with area code 650 for Devi Ramanan at Accenture.

Where is Devi Ramanan based?

Devi Ramanan is based in San Francisco Bay Area, United States while working with Accenture.

What companies has Devi Ramanan worked for?

Devi Ramanan has worked for Accenture, Carbon Health, Bill & Melinda Gates Foundation, Altoida, Inc., and Data.World.

Who are Devi Ramanan's colleagues at Accenture?

Devi Ramanan's colleagues at Accenture include Sandhya Ramachandra, Karthika Ramajayam, Sophie Scarlett, Sundar Moorthi, and Craig Wilson.

How can I contact Devi Ramanan?

You can use AeroLeads to view verified contact signals for Devi Ramanan at Accenture, including work email, phone, and LinkedIn data when available.

What schools did Devi Ramanan attend?

Devi Ramanan holds Master Of Business Administration (Mba), Double Major: Health & Financial Engineering (Minor: Market Research) from The Wharton School.

What skills is Devi Ramanan known for?

Devi Ramanan is listed with skills including Leadership, Financial Valuation, Publications, Health Economics, Mergers, Perl, Genomics, and Start Ups.

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