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

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

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

Mai Ha Vu, PhD

POSTDOCTORAL FELLOW (co-advised with Dag Trygve Truslew Haug)

Mai Ha is a postdoctoral fellow in the Department of Linguistics and Scandinavian Studies, and she works in the ImmunoLingo convergence environment with the Greiff Lab on a very exciting collaboration. The aim of the project is to combine linguistics and machine learning methodologies to decipher the language of adaptive immunity. Mai Ha received her PhD in Linguistics at University of Delaware, where she mainly studied syntax and formal language theory. Before you ask, her best languages are Hungarian and English, and she also speaks very limited Vietnamese with her parents. In her free time, she likes playing boardgames and petting cats.


Puneet Rawat, PhD


Puneet received his PhD in Computational Biology under the supervision of Prof. M. Michael Gromiha at Indian Institute of Technology, Madras. He is currently working on structural analysis of antibodies using Machine Learning techniques. He generally reads paper and/or listen music in his leisure time. Away from science, he loves travelling to new places and capturing the moments in his camera.


Habib Bashour, PhD


Habib got his BSc in Pharmacy & Medicinal Chemistry in Syria, MSc in Biotechnology in the UK, and PhD also in the UK – at the University of Warwick. Habib has joined our team to work on computational immunology projects with particular focus on BCR repertoire analysis and antibody developability. He uses his free time to cook for his friends (no food poisoning cases yet) and cycle around the English countryside


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

Robert Frank

PhD Candidate.

Robert is a PhD student in computational immunology and obtained his Master Degree in Computer Science in Germany (FSU-Jena) with a focus on machine learning and statistics. His PhD-Topic is about predicting antibody-antigen binding with machine learning. In his free time, he practices sword fencing, hiking, fitness stuff and learning new things.


Khang Lê Quý

PhD Candidate

Khang completed his master’s degree in Biosciences at the University of Oslo. Currently, he is continuing as a PhD candidate at UiO working on single-cell sequencing and mass spectrometry under the supervision of Igor and Victor. He is currently building an integrated workflow for sequencing and mass spectrometry for antibodies using personalized reference data. In addition, he is working together with Brij using yeast display to perform library-on-library scanning of antigen-antibody affinities. Outside of science, he enjoys reading about the history, culture, and geography of other countries, and travelling there as well.

Talip Zengin

Short-term PhD Research Fellow

Talip is PhD candidate in Bioinformatics at Muğla Sıtkı Koçman University (Turkey). He has worked on cancer bioinformatics including genomics and transcriptomics. He has decided to dive into deep water of immunology. He is currently looking to work on antibody-antigen interactions and get familiar with ML. He dreams about designing antibody against specific mutations on cancer associated proteins. Away from science he uses his time to bike around the city and learning Norwegian and culture. He loves music (large repertoire but tend to some specific ones), hiking, climbing, reading, animes, series, movies and mostly science fiction. Yes, his hair and beard are naturally white 🙂

Eugen Ursu

Guest PhD Candidate

Eugen is a medical school graduate from Romania and has been working since 2019 in bioinformatics research at the Institute of Biochemistry of the Romanian Academy, as part of the Systems Biology of Aging Group. Currently, Eugen is a PhD Candidate working on investigating and improving sequence-based antibody specificity prediction systems. Outside science, he particularly enjoys squash, hiking, and winter sports.

Jack Wade

Guest PhD Candidate

Jack is a visiting PhD student, studying at the Technical University of Denmark. He obtained his Msc in Biological Chemistry from The University of Nottingham, performing his research project in the Department of Biomolecular Mass Spectrometry. Before starting his PhD he worked for 2 years within the drug discovery department at F-star within the field of immune oncology. His PhD project focus is in engineering conditional binding characteristics into antibody paratopes, and will work on setting up an NGS pipeline in the Greiff lab. In his free time he enjoys sports and hiking and making cocktails!

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.

Eva Smorodina

Research assistant

Eva is a Bioengineering and Bioinformatics specialist student at Lomonosov Moscow State University. She is currently working as a computational structural biologist in Virtual Structural Biology Group (Russia) and Strodel Group (Germany). Eva has joined Greiff Lab to learn machine learning methods in structural immunology and now she is working with Habib on antibody developability. In her practically absent free time, Eva enjoys horse riding, reading, traveling, chatting with friends, and learning something new.

Email | Twitter | Github

Tudor-Stefan Cotet

BSc student.

Tudor is a third-year Biological Sciences student at Imperial College London, with an interest in bioinformatics and machine learning. At Greiff Lab, he is currently involved in a project on Generative Adversarial Networks applied to antibody generation. In his spare time, he enjoys listening to way too many podcasts, running, and reading philosophy – that’s why he Kant suffer any more Kant puns.

Ingvild Frøberg Mathisen

MSc student.

Ingvild got her Bachelor’s in molecular biology from the Norwegian University of Life Sciences (NMBU) and is currently studying for a Master’s in bioinformatics at the same university. Her project involves using machine learning methods to study cross-reactivity in antibodies. In her spare time Ingvild enjoys listening to audiobooks, reading questionable literature in the field of psychology (because everyone needs a guilty pleasure), American politics (since one more doesn’t hurt) and watching crime series both fictional and not. 

Jahn Zhong

MSc student.

Jahn is a master student in the Integrated Immunology program at the Friedrich-Alexander-University in Erlangen (Germany). Driven by curiosity he is now at Greiff lab working on antibody developability and resolving error messages while (re-)learning interesting mathematic concepts he never thought he’d need (again). In his free time he likes to listen to audio books, nerd out about coffee, cook food, play video games and satisfy his curiosity in whatever topic arises.

Noah Holzleitner

MSc student.

Noah is an exchange master’s student in the Medical Research program at Uppsala University, Sweden, after completing his bachelor’s degree in biochemistry at Leipzig University. The desire to get an insight into bioinformatics research brought him to Oslo. In the GreiffLab, he will work on paratope epitope prediction problems. In his free time, he enjoys reading, cooking Italian food, and visiting Oslo’s museums.