Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents

Lakshminarayanan Subramanian

New York University · Computer Science

Active 2000–2026

h-index38
Citations5.9k
Papers27174 last 5y
Funding$695k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

See your match with Lakshminarayanan Subramanian — sign in to PhdFit.Sign in

Research topics

  • Computer Science
  • Mathematics
  • Mathematical optimization
  • Econometrics
  • Statistics

Selected publications

  • Breakthroughs and Applications of Organ-on-a-Chip Technology

    Cells · 2022-06-02 · 99 citations

    reviewOpen access

    Organ-on-a-chip (OOAC) is an emerging technology based on microfluid platforms and in vitro cell culture that has a promising future in the healthcare industry. The numerous advantages of OOAC over conventional systems make it highly popular. The chip is an innovative combination of novel technologies, including lab-on-a-chip, microfluidics, biomaterials, and tissue engineering. This paper begins by analyzing the need for the development of OOAC followed by a brief introduction to the technology…

  • A Conditional Gradient Approach for Nonparametric Estimation of Mixing Distributions

    Management Science · 2020 · 41 citations

    Mixture models are versatile tools that are used extensively in many fields, including operations, marketing, and econometrics. The main challenge in estimating mixture models is that the mixing distribution is often unknown, and imposing a priori parametric assumptions can lead to model misspecification issues. In this paper, we propose a new methodology for nonparametric estimation of the mixing distribution of a mixture of logit models. We formulate the likelihood-based estimation problem as…

  • The Importance of Long-term Care Populations in Models of COVID-19

    JAMA · 2020-06-06 · 38 citations

    article

    This Viewpoint discusses the importance of distinguishing rates and patterns of disease in long-term care vs general populations when developing mathematical models to predict the future spread of COVID-19 infection.

  • Frontiers in Operations: News Event-Driven Forecasting of Commodity Prices

    Manufacturing & Service Operations Management · 2024-03-20 · 10 citations

    articleOpen access

    Problem definition: Commodity prices have exhibited significant volatility in recent times, which poses an exogenous risk factor for commodity-processing and commodity-trading firms. Accurate commodity price forecasts can help firms leverage data-driven procurement policies that incorporate the underlying price volatility for financial and operational hedging decisions. However, historical prices alone are insufficient to obtain reasonable forecasts because of the extreme volatility. Methodology…

  • Cautionary lessons from the COVID-19 pandemic: Healthcare systems grappled with the dual responsibility of delivering COVID-19 and non-COVID-19 care

    PLOS Global Public Health · 2024-11-04 · 4 citations

    articleOpen accessSenior authorCorresponding

    During the COVID-19 pandemic, hospitals were challenged to provide both COVID-19 and non-COVID treatment. A survey questionnaire was designed and distributed via email to hospitals empanelled under the Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana(AB-PMJAY), the world's largest National Health Insurance Scheme. Telephonic follow-ups were used to ensure participation in places with inadequate internet. We applied support vector regression to quantify the hospital variables that affected the us…

Recent grants

Frequent coauthors

  • Jay Chen

    34 shared
  • Ashwin Venkataraman

    University of Dallas

    28 shared
  • Yasir Zaki

    27 shared
  • Ananth Balashankar

    24 shared
  • Khader Shameer

    Imperial College London

    22 shared
  • Ashlesh Sharma

    20 shared
  • Srikanth Jagabathula

    19 shared
  • Shiva R. Iyer

    19 shared

Education

  • PhD, EECS

    University of California Berkeley

    2005

Similar researchers at New York University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Lakshminarayanan Subramanian

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup