We are a team of scientists with a wide range of skills and experience both at the computational and experimental fronts. We love immunology and we do it with great passion. We also love to connect, collaborate and share our findings so don’t be afraid, come talk to us, we look forward to working with you.

Victor Greiff, PhD


Dr. Greiff started his research group in 2018 at the University of Oslo (UiO), Department of Immunology. The group develops computational and experimental tools to decipher, read, predict and re-engineer  antibody and T-cell repertoires with the aim to develop fundamentally novel immunodiagnostics, vaccines and immunotherapeutics. He uses his time away from science to catch up on current immunology topics, technology developments, and state of the art algorithms – wait a minute, that’s just more science!

Email | Twitter | GoogleScholar | ORCID | Github | UiO

Igor Snapkov, MD, PhD


Igor received his PhD in Cancer Immunology from the University of Tromsø (Norway). He studies antibody and T-cell repertoires on the single-cell level in health and disease ultilizing high-throughput sequencing, immuno-mass spectrometry and large-scale epitope arrays. Away from science, he spends his time perfecting super-delish but super-top-secret-never-been-tasted Pavlova and Pirozhki for the lab!

Email | GoogleScholar | ResearchGate | UiO

Rahmad Akbar, PhD


Mat received his PhD in Bioinformatics from the University of Saarland (Germany). He is currently working to resolve antibody-target binding using deep learning, computational immunology, and high-performance computing. He uses his time away from science to bike along the fabled Oslo Fjord and learn to put together tasty meals in the kitchen. He fails more often than not but he keeps forging ahead.

Email | Twitter | GoogleScholar | ORCID | GithubUiO

Philippe Robert, PhD


Philippe studied computer science in École Normale Supérieure de Lyon, and immediately switched to the dark side of immunology upon graduation. He left wine and stinky French cheese for good beers, to do a PhD in Germany in Braunschweig in the field of computational modelling. It involved the awakening of T helper cells with different cytokine breakfasts, and the flirting of those lazy cells with B cells in Germinal Center to get a good broad vaccine. Now, we work together on designing good models for antibody binding, by simulating many antibody structures and trying to find how the hell they find their soulmate epitope in this world of nerds..

Email | Twitter | GoogleScholar | ORCID 

Brij Bhusan Mehta, PhD

POSTDOCTORAL FELLOW (co-advised with Fridjof Lund-Johansen)

Brij received his PhD in protein engineering and protein biochemistry under supervision of Prof. Manni LuthraGuptasarma from PGIMER, Chandigarh (India). He is currently looking to gain deep insights into antibody-antigen interactions to decode molecular language of immunity using recombinant molecular biology, surface display system, next-gen sequencing platform and AI. Outside lab, he likes to get lost into forest trails and play club cricket in Oslo

Email | Twitter | GoogleScholar | UiO

Andrei Slabodkin

PhD Candidate

Andrei received his Ms in Bioinformatics in St. Petersburg (Russia), and spent some time working on B cells phylogenetics. Now he is trying to understand the connection between germline variations and differences in B(T)CR repertoires. He uses his free time (which of course he, being a PhD student, should not have) to read fiction and walk around the city.

Maria Chernigovskaya

PhD Candidate

Maria received her Master’s degree in Bioinformatics in Russia. Her projects were devoted to analyzing paired 10-x VDJ datasets and to the construction of mixed metabolic and signaling networks. Currently she is trying to clarify the strength and weaknesses of ML methods applied to AIRR data. Maria is addicted to tea and podcasts and she is perfectly fine with that.

Lonneke Scheffer

PhD Candidate. Co-advised with Geir Kjetil Sandve.

Lonneke obtained a BSc in bioinformatics (Hanze UAS, Groningen) and a MSc in informatics (UiO, Oslo), and is currently working as a PhD student in computational immunology. The objective of her PhD is to quantify the impact of germline gene variation on immune receptor repertoires. She will develop representations in which immune repertoire variability is decomposed into genotype- and environment-derived components. These representations will be used for machine learning-based disease classification. ​In her free time Lonneke enjoys drawing, crafting, sewing and going for hikes in the Norwegian mountains.

Milena Pavlović

PhD Candidate. Co-advised with Geir Kjetil Sandve.

Milena is a PhD student working on immune repertoires and machine learning (co-supervised with Geir Kjetil Sandve). She obtained her BSc and MSc in computer science from the University of Nis, Serbia. She enjoys reading and learning about new languages. She doesn’t really enjoy food but she does sleep at night (not a robot from the future!). Although, she struggles sometimes to press “confirm you are not a robot” whenever a captcha presents this question.

Email | Twitter | GoogleScholar | ORCID | GithubUiO

Habib Bashour

PhD Candidate. Co-advised with Jose Gutierrez-Marcos.

Habib got his BSc in Pharmacy & Medicinal Chemistry in Syria and an MSc in Biotechnology in the UK. He is currently studying for his PhD at the University of Warwick under the supervision of Jose Gutierrez-Marcos (Warwick) and Victor (UiO). Habib has joined our team to learn the ins and outs of experimental AIRR–seq, in addition to working on computational immunology projects with particular focus on BCR repertoire analysis and antibody developability. He uses his free time to cycle around the English countryside and to bake for his friends (but he uses too much syrup sometimes).


Khang Lê Quý

Master Student

Khang received his bachelor’s in biotechnology from International University, Vietnam. Currently he is a Master student in Biology at UiO working on single-cell sequencing under the supervision of Igor. He enjoys travelling, talking to people and learning new things.

Keshav Motwani

BSc student. Co-advised with Todd Brusko, University of Florida.

Keshav is a Mathematics and Statistics bachelors student at the University of Florida and is currently working on immune-repertoire based classification of disease status using machine learning. He is co-supervised by Todd Brusko (UF) and Victor to identify receptor-based signatures of type 1 diabetes for diagnosis and therapeutic response in clinical trials. Outside of science, Keshav loves to explore new places (both in nature and cities), bike, run, and play Indian musical instruments.