Statistical analyses of feature orientation in 3D reticulate biological assemblies.
Materials Today Advances, 2026, 31:100869. https://doi.org/10.1016/j.mtadv.2026.100869
An engineer trapped inside the body of a biologist

2020
–
Present Time
6 years

Associate Professor
2018
–
2020
2 years

Applications Specialist
2017
–
2018
1 year

Postdoctoral Research Fellow, Faculty of Dentistry
2014
–
2017
3 years

Postdoctoral Research Fellow,
Dept. of Materials, Faculty of Engineering
2010
–
2014
4 years

PhD, Dept. of Structural Biology
2006
–
2008
2 years

MSc, Dept. of Orthodontics, Faculty of Dentistry
1. Rudski BZ, Deering J, McKee MD, Reznikov N.
Materials Today Advances, 2026, 31:100869. https://doi.org/10.1016/j.mtadv.2026.100869
2. Hosseinitabatabaei S, Nelson A, Piché N, Dagdeviren D, Reznikov N.
Bone, 2026, 207:117841. https://doi.org/10.1016/j.bone.2026.117841
3. Khurshid B, Mousa A, Dallas SL, Deering J, Reznikov N, McKee MD.
Bone, 2026. https://doi.org/10.1016/j.bone.2025.117767
4. Bromage TG, Denys C, De Jesus CL, Erdjument-Bromage H, Kullmer Schrenk F, McKee MD, Reznikov N, Ittah E, Buss DJ, Ashley GM, Sandrock O, Pudel SB, Yakar S, Hu B, Rabieh S, Neubert TA.
Nature, 2026. https://doi.org/10.1038/s41586-025-09843-w
5. Deering J, Buss DJ, Murshed M, Reznikov N, McKee MD.
ACS Nano, 2025. https://doi.org/10.1021/acsnano.5c11922
6. Jia S, Piché N, McKee MD, Reznikov N.
Micron, 2025, 199:103915. https://doi.org/10.1016/j.micron.2025.103915
7. Rudski BZ, Deering J, Reznikov N.
J Open Source Software, 2025, 10(111):8369 https://doi.org/10.21105/joss.08369
8. Nelea V, Ittah E, McKee MD, Reznikov N.
Acta Biomaterialia. 2025 https://doi.org/10.1016/j.actbio.2025.05.016
9. Khurshid B, Benchetrite A, Guichaoua L, Brodusch N, Stewart BD, Kröger R, Gauvin R, Mallet M, Tremblay R, Reznikov N
Faraday Discussions 2025 https://doi.org/10.1039/D5FD00023H
10. Guichaoua L, Reznikov N, Stewart BD, Kröger R, Gauvin R
Faraday Discussions 2025 https://doi.org/10.1039/D5FD00029G
11. Deering J, Buss DJ, Kröger R, Vali H, Lagos MJ, Reznikov N, McKee MD
Faraday Discussions 2025 https://doi.org/10.1039/D5FD00013K
12. Buss DJ, Deering J, Reznikov N, McKee MD
J Bone Miner Res Plus, 2025 (special issue on rare bone diseases), 9(2): ziae176. https://doi.org/10.1093/jbmrpl/ziae176 (Cover article)
13. Reznikov N
J Struct Biol: X, 2024(10):100116 https://doi.org/10.1016/j.yjsbx.2024.100116
14. Reznikov N
Author/Editor Antonio Nanci. Elsevier, 2024. ISBN-13 978-0323798952 https://shop.elsevier.com/books/ten-cates-oral-histology/nanci/978-0-323-79895-2#full-description
15. Halgrain M, Schneider MA, Jia S, Narcy A, Gambier E, Hincke MT, McKee MD, Rehault-Godbert S, Reznikov N
Poultry Science, 2024, 103(12):104308 https://doi.org/10.1016/j.psj.2024.104308
16. Rodriguez-Navarro AB, Dominguez-Gasca N, Athanasiadou D, Le Roy N, Reznikov N, Gonzalez-Segura A, Hincke MT, McKee MD, Nys Y, Gautron J
Acta Biomater, 2024, 178:244-256 https://doi.org/10.1016/j.actbio.2024.03.001
17. Grass D, Malek G, Taieb H, Ittah E, Richard H, Reznikov N, Laverty S
Bone, 2024, 185:117131 https://doi.org/10.1016/j.bone.2024.117131
18. Daniel J Buss, Natalie Reznikov, Marc D McKee
iScience, 2023 https://doi.org/10.1016/j.isci.2023.108425
19. Daniel J Buss, Katya Rechav, Natalie Reznikov, Marc D McKee
Bone, 2023 https://doi.org/10.1016/j.bone.2023.116818
20. McKee MD, Buss DJ, Reznikov N.
J Struct Biol, 2022, 214(1):107823 https://doi.org/10.1016/j.jsb.2021.107823
21. Reznikov N, Liang H, McKee MD, Piché N.
Am J Biol Anthrop, 2022 https://doi.org/10.1002/ajpa.24474
22. Buss DJ, Kroeger R, McKee MD, Reznikov N.
J Struct Biol: X, 2022(6):100057 https://doi.org/10.1016/j.yjsbx.2021.100057
23. Alsheghri A*, Reznikov N*, Piché N, Gendron M, Tamimi Marino F, Song J.
Mat Sci Eng: C, 2021, 112010 https://doi.org/10.1016/j.msec.2021.112010 * equally contributing authors.
24. Reznikov N, Buss DJ, Provencher B, McKee MD, Piché N.
J Struct Biol, 2020: 107598 (invited from conference selection, special issue) https://doi.org/10.1016/j.jsb.2020.107598
25. Buss DJ, Reznikov N, McKee MD.
J Struct Biol, 2020: 108603 https://doi.org/10.1016/j.jsb.2020.107603
26. Reznikov N, Hoac B, Buss DJ, Addison WN, Barros NMT, McKee MD.
Bone, 2020 https://doi.org/10.1016/j.bone.2020.115447 (cover article)
27. Athanasiadou D, Jiang W, Reznikov N, Rodriguez-Navarro AB, Kroeger R, Bilton M, Nelea V, Hu Y, McKee MD.
J Struct Biol, 2020, 210(2):107489. https://doi.org/10.1016/j.jsb.2020.107489
28. Reznikov N, Rechav K.
CRC Press (Francis and Taylor Group), 2021 (invited book chapter). (in press)
29. Reznikov N, Alsheghri A, Piche N, Gendron M, Morozova I, Sanchez Siles JM, Gonzalez-Quevedo D, Tamimi Marino I, Song J, Tamimi Marino F.
Bone Reports, 2020 12:100264. https://doi.org/10.1016/j.bonr.2020.100264
30. Reznikov N, Dagdeviren D, Tamimi Marino F, Glorieux F, Rauch F, Retrouvey JM.
J Bone Miner Res Plus, 2019, 3(6): https://doi.org/10.1002/jbm4.10124
31. Autefage H, Allen F, Tang HM, Kallepitis C, Gentleman E, Reznikov N, Nitiputri K, Nommeots-Nomm A, O’Donnell MD, Lange C, Seidt BM, Kim TB, Lee PD, Pierce BF, Wagermaier W, Fratzl P, Goodship A, Jones JR, Blunn G, Stevens MM.
Biomaterials, 2019, 209:152-162. https://doi.org/10.1016/j.biomaterials.2019.03.035
32. Ghouse S, Reznikov N, Boughton O, Babu S, Ng G, Blunn G, Cobb J, Stevens MM, Jeffers J.
Applied Materials Today, 2019, 15:377-388. https://doi.org/10.1016/j.apmt.2019.02.017
33. Reznikov N, Boughton O, Ghouse S, Blunn G, Weston A, Collinson L, Jeffers J, Cobb J, Stevens M.
Biomaterials, 2019, 194: 183-194. https://doi.org/10.1016/j.biomaterials.2018.11.026
34. Reznikov N, Bilton M, Lari L, Stevens MM, Kroeger R.
Science, 2018, 360: eaao2189. https://doi.org/10.1126/science.aao2189
35. Silvent J, Akiva A, Brumfeld V, Reznikov N, Rechav K, Yaniv K, Addadi L, Weiner S.
PLoS ONE, 2017; 12(12): e0177731 https://doi.org/10.1371/journal.pone.0177731
36. Rowan S, Chang M-L, Reznikov N, Taylor A.
Exper Eye Res, 2017; 156:72-78. https://doi.org/10.1016/j.exer.2016.02.011
37. Ben-Zvi Y*, Reznikov N*, Shahar R, Weiner S.
Front Mater (Special Issue: Computed Tomography-Based Biomaterials), 2017 https://doi.org/10.3389/fmats.2017.00029
38. Reznikov N, Phillips C, Cooke M, Garbout A, Ahmed F, Stevens MM.
J Bone Miner Res, 2017, 32(9):1915-1925 https://doi.org/10.1002/jbmr.3185 (cover article, and received American Society for Bone and Mineral Research / Journal of Bone and Mineral Research Raisz-Drezner Award)
39. Kim E, Zwi-Dantsis L, Reznikov N, Hansel CS, Agarwal S, Stevens MM.
Adv Mater, 2017, 29:1701086 https://doi.org/10.1002/adma.201701086
40. Reznikov N, Steele JAM, Fratzl P, Stevens MM.
Nature Reviews Mater, 2016:16041. https://doi.org/10.1038/natrevmats.2016.41
41. Reznikov N, Chase H, Ben Zvi Y, Tarle V, Singer M, Brumfeld V, Shahar R, Weiner S.
Acta Biomater, 2016; 44:65-72. https://doi.org/10.1016/j.actbio.2016.08.040
42. Reznikov N, Chase H, Brumfeld V, Shahar R, Weiner S.
Bone, 2015; 71:189-195. https://doi.org/10.1016/j.bone.2014.10.017
43. Atkins A, Reznikov N, Ofer L, Masic A, Weiner S, Shahar R.
Acta Biomater, 2015; 13:311-323. https://doi.org/10.1016/j.actbio.2014.10.025
44. Reznikov N, Shahar R, Weiner S.
Acta Biomater, 2014; 10:3815-3826. https://doi.org/10.1016/j.actbio.2014.05.024
45. Almany-Magal R, Reznikov N, Shahar R, Weiner S.
J Struct Biol, 2014; 186:253-264. https://doi.org/10.1016/j.jsb.2014.03.007
46. Reznikov N, Shahar R, Weiner S.
Bone, 2014; 59:93-104. https://doi.org/10.1016/j.bone.2013.10.023
47. Reznikov N, Almany-Magal R, Shahar R, Weiner S.
Bone, 2013; 52:676-683. https://doi.org/10.1016/j.bone.2012.10.034
48. Faingold A, Cohen S, Reznikov N, Wagner DH.
Acta Biomater, 2013; 9:5956-5962. https://doi.org/10.1016/j.actbio.2012.11.032
49. Reznikov N, Barkana I, Abed Y, Har-Zion G, Redlich M.
Am J Orth Dent Orthop, 2010; 138:330-338. https://doi.org/10.1016/j.ajodo.2008.07.025
50. Reznikov N, Barkana I, Abed Y, Har-Zion G, Redlich M.
J Dent Biomech, 2010; 1:613142. https://doi.org/10.4061/2010/613142











I am an undergraduate in Bioengineering focused on using image processing and deep learning-aided segmentation to create detailed and beautiful 3D reconstructions that facilitate the analysis of biological structures. This work has included renderings of collagen in some craniofacial tissues and examining aspects of avian embryonic development related to calcium traffic. Currently, I am digitally "unwrapping" two ancient Egyptian ibis mummies from the Redpath Museum's World Cultures collection to explore their contents and histories.


I am a PhD student in the first cohort of McGill’s Biophysics program – which seeks to incorporate various scientific disciplines such as physics, chemistry, engineering, and biomedicine. After completing a Masters in Pharmacology investigating nanoparticles for drug delivery, I am now focused on uncovering more ‘nanoparticles.’ Specifically, my research attempts to uncover the structure of transient calcium-rich spherules which form in incubating avian eggs, crucial in the formation of bones. I will employ a variety of imaging techniques ranging from scanning electron microscopy, focused-ion beam milling, computed tomography, and ptychography among others.


Water is crucial for protein structure and, by extension, life itself. Its role extends beyond cellular-level functions, influencing how animals adapt through evolutionary changes in connective tissues like skin, scales, bone, and corneas. My research focuses on understanding the complex chemistry and physics governing hydrated interfaces in animal connective tissues, aiming to design materials for practical applications by leveraging similar interactions.


I used to be an electrical and control system engineer before joining this group, but now I'm working as a “cyber archeologist” with my coding skills. My research focuses on the quality optimization on both resolution scale and volume scale of 3D computed tomography images using deep learning tools. We scan avian eggs from natural history museum collections and from breeders, as well as ancient Egyptian animal mummies from the World Cultures collection of the Redpath Museum, McGill.


I am a PhD candidate in the Quantitative Life Sciences (QLS) program. My research centres on quantitatively understanding functional adaptation in bone using trabecular anisotropy. I seek to understand the relationship between physiologic loading and bone architecture.


Having received training as a mechanical engineer, my research focus has evolved over the years to center around enhancing the reliability—specifically precision and accuracy—of computed tomography (CT) imaging through the application of diverse image processing techniques. Leveraging advancements in deep learning, the aim of my postdoctoral research is to solve the dilemma of choosing between resolution and field-of-view in dental cone beam CT imaging such that a large volume with rich structural context can be achieved without sacrificing the image resolution.


I am a new postdoctoral researcher in the Reznikov Lab with a background in paleontology following the completion of a Master’s and of a PhD in Prof. Hans Larsson’s lab in McGill University’s Department of Biology. After spending much of my PhD making 3D reconstructions of animal skeletons through surface scanning and of entire fossil-rich rock outcrops through photogrammetry, I will direct my attention towards the segmentation of several CT scans of biological and archeological specimens from McGill museum collections. My ultimate objective is to display those segmented and annotated scans within a virtual reality museum that I will design as part of this project.


I am Benazir, a marine biologist from Université de Bourgogne and Synchrotron-Soleil. My research journey unfolded by unveiling the complex structure of a mollusc shell and red corals, employing a different microscopic techniques and biochemical analyses. As a postdoctoral fellow, I worked on understanding the effect of water temperature and pollution on the structure of bay scallop shells.


I am Lovéni, a former master's student in the Biological and Biomedical Engineering program at McGill. I had been in Natalie’s research group since my undergraduate studies, working on unveiling essential features for the intriguing mechanical properties of 3D tessellations in the bone hierarchical structure. My research project focused on parametric modelling, additive manufacturing and finite element analysis.


With my background in dentistry and surgical expertise, I focused on the effects of jaw muscle tone on the jaw and neck posture, and dentition. My work explored a non-invasive treatment for bruxism using an oscillating device designed by Prof. Reznikov and team to modulate muscle tone. Driven by integrating principles from biomechanics and clinical practice, I electromyography to study the effect of vibration on the muscle tone.


I admire nature and how its structures and processes at one scale resonate across different scales, just like how tiny coral bits become vast sand beaches! I am Arnaud, a former undergraduate bioengineering student from Guadeloupe. I worked in Natalie’s lab for multiple projects including imaging of mollusk shells using scanning electron microscopy, training of a deep learning image segmentation models, design of laboratory experiments, review and classification of undergraduate students’ essays, and as a course assistant!


Coming from Marseille, France, I obtained a PhD at the Max Planck Institute of Colloids and Interfaces and the Technical University of Berlin, Germany. With my background in image acquisition and image processing, I then went on to a Mitacs postdoctoral position between the Reznikov Lab and Comet Technologies Canada, Inc. (creators of the Dragonfly software), where I built pretrained universal deep learning neural networks for segmentation of 3D images of bone and teeth. I am passionate about food, from eating it to scanning it with µCT.

Teaching office: Strathcona Anatomy & Dentistry
Research lab: 141 du Président-Kennedy Avenue, 5th floor
Email: natalie.reznikov at mcgill.ca
Github: https://github.com/axiomofchoices
Email: yakov.reznikov@mail.mcgill.ca
Home