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Chemist · Part-time Cinephile

Hi, I am Samiksha Yogi.

I work in a lab looking for molecules that can kill cancer cells. Most days it does not work. That is kind of the point. You keep going.

When I am not in the lab, I am watching films. Quietly. In the dark. I think science and cinema are more similar than people give them credit for. Both are just ways of trying to understand what is happening around us.

I am based in St. Louis and I come from Nepal. I am figuring things out one experiment at a time.

A Woman in a Shed Changed How I Saw Everything

Nothing in life is to be feared. It is only to be understood. Now is the time to understand more, so that we may fear less. Marie Skłodowska Curie

I was twelve years old in a school library in Nepal when I first read about Marie Curie. It was a tattered biography with a torn cover. I remember the sentence that made me stop. She had discovered two elements, won two Nobel Prizes in two different sciences, and done all of it while being told she did not belong in the room.

What got me was not the genius part. It was that she kept going in a leaking shed, carrying radioactive material in her pockets, teaching herself new languages, walking into rooms that did not want her there. And slowly the room changed around her.

I came to the United States on a student visa with a suitcase and a vague belief that chemistry might be my way into something meaningful. The lab felt like the one place where your passport does not matter. Only your results do. That is what Curie gave me. Permission to believe the work speaks for itself.

Today I research cancer compounds at Washington University in St. Louis. Every time something does not work and most things do not, I think of her in that shed. And I try again. Science is not glamorous. It is just stubbornness in a lab coat.

And when I need to remember why any of it matters, I go watch a movie.

A Project Worth Knowing About

One of four things I have worked on. Click below to see the rest.

Skills at a Glance

The three areas I spend most of my time in.

Programming

Pythonpandas scikit-learnSQLJupyter

Lab Techniques

Flow CytometryqRT-PCR Cell CultureElectrochemistry

Chemistry

Drug ScreeningFormulation NanomaterialsQC Analysis

Samiksha Yogi

Chemist · Researcher · Part-time Cinephile

I am a chemist based in St. Louis working on cancer drug discovery at Washington University. I hold a chemistry degree from UMSL and have spent the last few years moving between academic labs and industry, always asking the same question: how do we make this faster and more purposeful?

Where I Come From

I grew up in Nepal, where science felt like a way out and a way in. Out of limitation, and into a bigger world. I moved to the United States as an international student, navigating a new country and a new culture while trying to build something real. It was not easy. But the lab was always steady. Experiments do not care where you are from.

The Lab Work

My undergraduate research at UMSL was on nanoporous gold. I synthesized it electrochemically, imaged it under electron microscopes, and thought about how it could carry drugs into the body. That work taught me to think in structures and surfaces, to understand that what a material does depends entirely on how it is put together at the smallest scale.

At Bayer, I moved into formulations for seed treatments. Industry science is about reproducibility above everything else. I built testing protocols, measured viscosity and particle size and pH, and learned that the difference between a good formulation and a bad one is mostly patience and precision.

Now at Washington University I screen small molecules against cancer cells. I run assays, read flow cytometry data, write Python scripts to process the results, and look for patterns. The wins are rare. When they happen they mean something.

Cinema and Me: Almost a Love Story

I watch a lot of films. Mostly world cinema, Iranian, Korean, Hindi and English. I love movies that take their time and trust silence. There is something about a good film that does what a good experiment does. It shows us something we already knew but could not put into words. Cinema is how I decompress. It is also, I think, what keeps me curious in a way that is not just about data.

It started small. A film here, a film there. Then at some point it stopped being a hobby and became something closer to a practice. The kind of films that stay with us are not the loud ones. They are the ones that sit quietly in a corner of the mind and refuse to leave. That is what good cinema does. It does not explain. It just shows. And somehow that is enough.

Projects

Research and work across academia and industry, from nanomaterials to machine learning.

Oncology Drug Screening

Washington University in St. Louis · Mahajan Lab

Screening small molecules against multiple cancer cell lines to find compounds that kill cancer cells selectively, without harming healthy ones. This is slow, careful, repetitive work. Most things fail. That is the job.

  • Maintained breast cancer, prostate cancer, and T-cell lines under sterile conditions every single day
  • Designed and ran flow cytometry assays to measure apoptosis and cell death after compound treatment
  • Performed qRT-PCR to track changes in gene expression in response to lead compounds
  • Wrote Python scripts using pandas and matplotlib to clean and visualize multi-batch assay data
  • Contributed to the lab's active drug development pipeline targeting hormone-receptor cancers
Software and Tools
FlowJoPythonpandasmatplotlibExcelChemwatch

Nanoporous Gold Synthesis for Drug Delivery

University of Missouri St. Louis · Undergraduate Research

Synthesizing nanoporous gold and studying whether it could work as a scaffold for delivering drugs into the body. The material is interesting because its properties change depending on how you make it.

  • Synthesized nanoporous gold by electrochemically dealloying gold-silver alloys at different potentials
  • Characterized the surface structure and pore sizes using scanning electron microscopy
  • Measured electrochemical surface area via cyclic voltammetry to understand how much drug could attach
  • Investigated surface modification strategies for targeted drug delivery applications
  • Documented how synthesis conditions changed material properties to guide future work
Software and Tools
SEM SoftwareCyclic VoltammetryOrigin ProExcel

Seed Treatment Formulation Optimization

Bayer CropScience · Industry Internship

Standardizing seed treatment formulations so they behave consistently from one batch to the next. In industry, consistency is everything. A formulation that works differently on different days is not a formulation at all.

  • Tested viscosity profiles of slurry formulations across different shear rates using rheometry
  • Measured particle size distributions via laser diffraction to check batch-to-batch consistency
  • Tested pH stability of formulations under different temperature and humidity conditions
  • Built standardized protocols for testing how formulations performed with mechanical planting equipment
  • Logged everything in SAP and produced QC reports for internal and regulatory use
  • Cut average testing cycle time by around 25 percent through better protocol design
Software and Tools
SAPRheometer SoftwareLaser Diffraction AnalyzerExcelChemwatch

What Comes Next: The Plan After Learning ML

In Progress · A Goal, Not a Project Yet

This is not something that has been done yet. It is something being worked toward. After getting a solid foundation in machine learning, the next step is to bring it into drug discovery in a way that actually makes the lab work smarter.

  • Learn how molecular structures can be represented as data that a model can actually read and learn from
  • Understand how machine learning models are trained to predict whether a compound might be biologically active
  • Use those predictions to decide which compounds are worth testing in the lab, before spending time and resources on them
  • Explore how combining computational predictions with experimental results creates a feedback loop that gets better over time
  • Eventually build something that connects the bench and the algorithm, where each informs the other
Planning to Learn
scikit-learnRDKitPyTorchMolecular FingerprintingCheminformatics

Skills

A full breakdown of what I can do, built across research labs and industry.

Laboratory Techniques

  • Flow Cytometry — cell viability, apoptosis measurement, live/dead gating
  • qRT-PCR — gene expression quantification, primer design, delta-delta Ct analysis
  • Cell Culture — sterile technique, passaging, cancer line maintenance
  • Electrochemistry — cyclic voltammetry, electrochemical dealloying
  • Rheometry — viscosity profiling, formulation characterization
  • SEM Imaging — sample preparation, morphology and pore size analysis
  • Particle Size Analysis — laser diffraction, batch uniformity testing

Programming and Data

  • Python — data cleaning, visualization, automation, ML pipelines
  • pandas and matplotlib — assay data processing and scientific plotting
  • scikit-learn — classification models, cross-validation
  • RDKit — molecular fingerprinting and cheminformatics
  • SQL — querying and organizing experimental datasets
  • Jupyter Notebooks — reproducible computing and research documentation

Software and Industry Tools

  • FlowJo — flow cytometry data analysis and gating strategies
  • SAP — lab data logging, QC reporting, inventory management
  • Chemwatch — chemical safety and SDS management
  • Excel — statistical analysis, data tracking, documentation
  • Origin Pro — scientific graphing and data analysis

Languages

  • English — fluent, academic and professional
  • Nepali — native
  • Hindi — conversational
  • Spanish — conversational

Let's Talk

Whether it is about research, film, or something in between, the door is open.

🔬

Chemistry

Drug discovery, cancer research, lab work, nanomaterials

🎬

Cinema

World films, Iranian, Korean, Hindi, the ones that trust silence

in

LinkedIn

Samiksha Yogi

Send a Message

About anything. Research, films, or just saying hi.

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