Geochemistry PhD · Software Implementation

Karim Lakhani, PhD

Senior Forward Deployed Scientist at Albert Invent

I spent my PhD reconstructing ancient oceans using geochemistry and statistical methods – now I help R&D scientists implement Albert OS, a software platform designed to enhance R&D workflows and identify their next innovations.

About me

Today I'm a Senior Forward Deployed Scientist at Albert Invent. I embed with R&D organizations to translate their scientific workflows into a platform they actually use – owning complex enterprise implementations end to end, and stepping into engineering, scientific, and engagement roles as needed.

I came to software from the lab. My PhD in geochemistry at Georgia Tech used statistical modeling and data science to reconstruct how ocean density and surface winds changed over ice-age timescales – the kind of record we need to project how the ocean will respond to today's warming.

In between, at Epic, I helped medical records teams keep patient records accurate and running smoothly across entire hospital networks.

Karim Lakhani at his Georgia Tech PhD graduation

Experience

From chemical engineering to environmental science to enterprise software implementation.

  • 2014 – 2018

    Caltech California Institute of Technology

    B.S., Chemical Engineering

  • 2018 – 2023

    Georgia Tech Georgia Institute of Technology

    Ph.D., Earth & Atmospheric Sciences

    Investigated ocean-atmosphere interactions with planktonic foraminifera in the tropical Pacific during the Last Glacial Maximum. See the full research section.

  • 2023 – 2025

    Epic Systems

    Technical Solutions Engineer

    Supported 20+ health-system customers – troubleshooting production issues, managing upgrades, and acting as the liaison between their IT teams and Epic's developers.

  • 2025 – Present

    Albert Invent

    Forward Deployed Scientist 2025 – 2026

    Led technical implementations for enterprise clients, translating scientific R&D, QC, and engineering workflows into working configurations on the Albert platform and automating data ingestion and reporting with Python and SQL.

    Senior Forward Deployed Scientist 2026 – Present

    Own complex enterprise implementations end to end and act as a trusted advisor to customers and internal teams. Beyond my accounts, I coach junior team members, build internal tools and data pipelines that improve how the team works, and lead Python and SQL trainings.

PhD research

Three connected threads from my dissertation work at Georgia Tech, using planktonic foraminifera to reconstruct ocean structure during the Last Glacial Maximum.

Published · Marine Micropaleontology, 2022

Constraining Foraminifera Calcification Depths

G. tumida foraminifera

Using foraminiferal oxygen isotope data from the global tropics, I (with the help of my co-authors) investigated the calcification habitat for planktonic foraminifera. These freely floating microorganisms are very useful for paleoceanographic study, as long as we understand the depths at which they live and calcify. This work builds on previous global studies of surface-dwelling foraminifera (MARGO project and Malevich et al. 2019) and extends it to subsurface-dwelling foraminifera (G. tumida, N. dutertrei, and P. obliquiloculata). We present this new dataset and attempt to characterize trends in the calcification depth under various assumptions. Using a novel TP metric, we show that G. tumida has a calcification habitat independent of the thermocline depth, while N. dutertrei and P. obliquiloculata have calcification habitats that depend on the thermocline depth. This interactive Tableau visualization summarizes the main findings.

Published · Paleoceanography and Paleoclimatology, 2024

Thermocline Regression

With the species depth data, we can attempt to determine the depth of the thermocline with just these foraminiferal data. I (with the help of my co-authors) do this by assuming a form of the thermocline based on oceanographic principles and fitting parameters to the oxygen isotope data. This is done with enough flexibility to accommodate differences in the thermocline profile regionally in the Pacific Ocean (allowing the surface mixed layer to be shallow or deep, etc.). With this method, I analyze previously published data as well as generate new data for the Western, Central and Eastern Pacific to investigate thermocline changes during the Last Glacial Maximum.

Draft

Later thesis work

Placeholder — to be filled in with a summary of the later parts of the thesis.

Publications

  • Y. Zhou, K.Q. Lakhani, et al. Deeper thermocline indicates stronger Pacific Walker circulation during the Last Glacial Maximum. Submitted to Science.
  • H.L. Ford, N. Wyre, et al. Warm equatorial upper ocean thermal structure during the mid-Pliocene warm period: A data-model comparison. Geophysical Research Letters, 52(16), e2025GL114749, 2025. doi.org/10.1029/2025GL114749
  • K.Q. Lakhani, J. Lynch-Stieglitz, B. Findley. Reconstructing the Tropical Thermocline From Oxygen-Isotopes in Planktonic and Benthic Foraminifera. Paleoceanography and Paleoclimatology, 39, e2023PA004794, 2024. doi.org/10.1029/2023PA004794
  • K.Q. Lakhani, J. Lynch-Stieglitz, M.M. Monteagudo. Constraining Calcification Habitat using Oxygen Isotope Measurements in Tropical Planktonic Foraminiferal tests from Surface Sediments. Marine Micropaleontology, 170, 102074, 2022. doi.org/10.1016/j.marmicro.2021.102074

Contact

Happy to talk R&D software, data science, paleoceanography, or anything in between.