Devi Ramanan

Devi Ramanan Email and Phone Number

Machine Learning & Data Science @ Carbon Health
Devi Ramanan's Location
San Francisco Bay Area, United States, United States
Devi Ramanan's Contact Details

Devi Ramanan personal email

n/a

Devi Ramanan phone numbers

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

Devi Ramanan's Current Company Details
Carbon Health

Carbon Health

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Machine Learning & Data Science
Devi Ramanan Work Experience Details
  • Carbon Health
    Svp, Data Science & Analytics (2021-2022), Advisor (2022-Present)
    Carbon Health 2021 - 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!
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  • Bill & Melinda Gates Foundation
    Risk Prediction, Algorithms, Devices - Technical Advisory Group
    Bill & Melinda Gates Foundation 2021 - Present
    Seattle, Wa, Us
    Machine Learning & Data Science
    View
  • Altoida, Inc.
    Advisory Board
    Altoida, Inc. 2018 - Present
    Washington, District Of Columbia, Us
    Predicting Alzheimer's Disease using AI/ML.
    View
  • Data.World
    Advisory Board
    Data.World 2016 - Present
    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
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  • Genotwin Inc.
    Advisory Board
    Genotwin Inc. 2020 - Present
    New York, Ny, Us
    Genomics, artificial intelligence, and computational biology to address the limitations of traditional testing
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  • Neolight
    Advisory Board
    Neolight 2018 - Present
    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.
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  • Clover Health
    Vp - Data Science Machine Learning, Analytics, Data Engineering, Clinical Data Mgmt
    Clover Health 2022 - Present
    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.
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  • Accenture
    Managing Director (Partner) - Health, Life Sciences, Devices - Machine Learning & Data Science
    Accenture 2020 - 2021
    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.
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  • Miraihealth.Ai
    Co-Founder & Ceo
    Miraihealth.Ai 2019 - 2020
    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).
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  • Ayasdi
    Vp - Global Product & Collaborations - Ml & Data Science
    Ayasdi 2014 - 2019
    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/
  • Context Matters Inc.
    Advisory Board
    Context Matters Inc. 2013 - 2017
    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
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  • Invitae
    Senior Director - Product & Customer Success
    Invitae 2012 - 2013
    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)
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  • Pacific Biosciences
    Head - Product - Sample Prep
    Pacific Biosciences 2011 - 2012
    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.
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  • Genentech
    Group Product Manager - Heor/Product
    Genentech 2004 - 2011
    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.)
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  • Genentech
    Publications While At Genentech
    Genentech 2004 - 2011
    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
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  • Kauffman Fellows
    Kauffman Fellow Finalist
    Kauffman Fellows 2008 - 2009
    Palo Alto, Ca, Us
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  • Ubs
    Summer Intern/Associate - Biotechnology Equity Research
    Ubs 2003 - 2003
    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
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  • Accenture
    Senior Consultant - Programming/Client Services
    Accenture 1997 - 2002
    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.
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Devi Ramanan Skills

Leadership Financial Valuation Publications Health Economics Mergers Perl Genomics Start Ups Financial Modeling Strategic Initiatives Prevention Biotechnology Market Research Business Development Immunology Competitive Analysis Life Sciences Process Improvement Strategic Planning Outcomes Research Strategy Html Equity Research Visual Basic Programming Lifesciences Java Xml Oncology Cross Functional Team Leadership Special Projects Product Management Patient Reported Outcomes C++ Abap Cancer Sql Python Business Strategy Sap Basis Product Development Research Pharmaceutical Industry Market Access Marketing Strategy Analytics Unix Interface Architecture Mergers And Acquisitions Personalized Medicine Strategy Development Commercialization Biopharmaceuticals

Devi Ramanan Education Details

  • The Wharton School
    The Wharton School
    Double Major: Health & Financial Engineering (Minor: Market Research)
  • The Johns Hopkins University/University Of Rochester
    The Johns Hopkins University/University Of Rochester
    Brain And Cognitive Science (Aka Biochemistry/Biophysics)
  • Coursera
    Coursera
  • Rochester Institute Of Technology
    Rochester Institute Of Technology
    Majors: Electrical Engineering/Physical Chemistry; Minor: Biology
  • Sutherland (Pittsford) High School
    Sutherland (Pittsford) High School

Frequently Asked Questions about Devi Ramanan

What company does Devi Ramanan work for?

Devi Ramanan works for Carbon Health

What is Devi Ramanan's role at the current company?

Devi Ramanan's current role is Machine Learning & Data Science.

What is Devi Ramanan's email address?

Devi Ramanan's email address is d.****@****sdi.com

What is Devi Ramanan's direct phone number?

Devi Ramanan's direct phone number is +165070*****

What schools did Devi Ramanan attend?

Devi Ramanan attended The Wharton School, The Johns Hopkins University/university Of Rochester, Coursera, Rochester Institute Of Technology, Sutherland (Pittsford) High School.

What skills is Devi Ramanan known for?

Devi Ramanan has skills like Leadership, Financial Valuation, Publications, Health Economics, Mergers, Perl, Genomics, Start Ups, Financial Modeling, Strategic Initiatives, Prevention, Biotechnology.

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