Assess what AI predictions can support.
I combine computational modelling with biological knowledge to examine uncertainty and guide the next research step.
HEALTHCARE STRATEGY · INNOVATION · AI
Make uncertainty useful.
Pharmacist · PhD in computational structural biology
HEC Paris MBA candidate
Sanofi Life Sciences Scholarship
I combine scientific judgment and AI-informed analysis to clarify complex healthcare questions. With a background in pharmacy and computational structural biology, I’m particularly interested in integrating data and AI approaches into strategy and decision-making across pharma and biotech.
Based in the Paris regionFR · EN · AR
From scientific evidence to business perspective.
Research taught me to frame questions, compare evidence and explain the limits of a prediction. Through an HEC Paris MBA, I am developing the business perspective to connect that experience with healthcare opportunities and choices.
01 — CONTRIBUTION
What I bring
Turn complex data into clear insights.
I structure, analyse and visualise molecular interaction data to identify patterns, compare hypotheses and communicate findings.
Connect scientific evidence with practical choices.
My experience spans in silico research, database construction and collaborative tool development. I’m building on that foundation to explore how data and AI can inform pharma and biotech strategy.
Explore the research behind my approach +
Research evidence: AI and scientific judgment +
AI + SCIENTIFIC JUDGMENT
Predict. Examine. Refine.
My approach is iterative: model outputs inform scientific questions, and scientific assessment shapes the next modelling step.
Generate predictions
Use AI models within a defined biological question.
Examine the evidence
Compare with biological knowledge and inspect uncertainty and alternative explanations.
Guide the next iteration
Use that assessment to refine what to explore next.
Grounded in computational structural biology and AlphaFold-based research.
Postdoctoral research: data, AI and simulation +
Host–pathogen interaction database
I constructed a database of host–pathogen protein–protein complexes to support their systematic analysis.
Using AI uncertainty to explore alternative conformations
Across seven molecular systems, I incorporated uncertainty information from AlphaFold outputs into molecular dynamics simulations to explore alternative conformations.
What this demonstrates
Database construction, comparative structural analysis and integration of AI outputs into scientific workflows. These projects inform how I assess evidence and decide what to investigate next.
Technical toolkit
Python and R for data analysis and visualisation; Jupyter notebooks for computational exploration.
Research evidence: structural similarity +
RESEARCH → REASONING
Look beyond the apparent similarity.
Schematic illustration · not research data
I investigated how structural similarity can support predictions of molecular interactions when protein sequences diverge—and where that inference becomes unreliable.
The question, my contribution and the result +
The question
When protein–RNA complexes are related, which molecular contacts remain similar—and which change?
My contribution
Data curation, computational analysis, software and visualisation within a collaborative research project.
The result
The study found that spatial contacts were more conserved than polar interactions, including in distant relatives. This provides evidence for template-based molecular modelling.
What I take into decision-making
Test what transfers, expose what does not, and explain the limits before recommending a next step. It is the approach I bring to new problems.
PLOS Computational Biology · 2024 ↗ Explore my doctoral thesis ↗02 — MY APPROACH
How I work
Learn what the problem requires
I moved from pharmacy into coding and bioinformatics, graduated first in my 2018–2020 master’s cohort after changing countries, then developed a doctoral topic new to my laboratory.
Make uncertainty useful
In my AlphaFold-based work, uncertainty became an input to exploring alternative conformations rather than something to hide.
Adapt the explanation to the audience
I worked with medical and non-medical colleagues and ran coding, mathematics and physics workshops for children through science outreach.
03 — MY BACKGROUND
A scientific foundation.
An expanding perspective.
FOUNDATIONS
PharmD + MSc
MSc · 2018–2020Pharmacy & bioinformatics
A clinical foundation, extended into programming and data analysis.
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DOCTORAL TRAINING
PhD
2024AI & structural biology
Investigated which molecular similarities can support reliable predictions.
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RESEARCH
Institut Pasteur
Since 2025Structural bioinformatics
Integrated AlphaFold predictions and uncertainty into computational workflows.
Show more +
BUSINESS EDUCATION
MBA — HEC Paris
Since September 2026Full-time MBA
Building business and strategy expertise on a foundation in science and AI.
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BUSINESS EXPOSURE
Spot the opportunity. Build the response.
Hands-on experience in a family business: marketing, responding to customer demand and building supplier partnerships.
My commercial experience +
Responding to demand over two years
In a family business in Algeria, I helped adapt marketing and organise supply partnerships over two years when customer demand exceeded our own capacity.
Prospecting & lead qualification
Familiarity with identifying potential customers, understanding their needs and assessing the relevance of a commercial opportunity.
Partnerships & execution
Worked with external suppliers and collaborative arrangements to meet demand and support business growth.
MISSION
Better decisions. More voices in science.
My mission is to connect science, AI and healthcare decisions—and empower women in science to have a stronger voice in shaping them.
I want to help scientific evidence inform business choices so good science has a better chance of reaching patients. Supporting women’s progression from scientific expertise to influence and leadership is part of that ambition.
I’m interested in contributing to science outreach, workshops and conversations about women’s progression in science.
RESEARCH & COMMUNITY
Work you can explore
Doctoral thesis
Computational structural biology · CEA / Université Paris-Saclay · 2024
Explore my doctoral thesis ↗First-author publication
Protein–RNA interface conservation · PLOS Computational Biology · 2024
Read the paper ↗RNAPROTDB
An interactive platform I co-developed to explore research data.
Explore the tool ↗Healthcare Club Ambassador
HEC Paris · Connecting my scientific background with conversations about healthcare and business.
LET’S CONNECT
Let’s talk.
I’d be happy to connect and exchange perspectives on careers and opportunities in healthcare.
ikram.mahmoudi@hec.edu ↗◷20 minutes to start↗Remote, in French or English
im.
Ikram MahmoudiHealthcare · Innovation · AI
✳AN INTRODUCTORY CONVERSATION
Let's find a moment
to talk.
You can also email me to arrange a conversation.
Connect with me on LinkedIn↗